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How can learning analytics be taken from its design to its deployment in an educational institution? What are the issues, limitations, strategies? This presentation includes a descirption of Learning Analytics, examples, how to tackle systemic deployment and suggestions on how to build institutional capacity.
Citation preview
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 2
jbgeronimiflickrcom
ldquoHow to measure the effectiveness of fye activitiesand ensure we r on d right trackrdquo Yesterday by CTldquoNo data no talkrdquo Yesterday by DVC Pradeep Nair
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 3
Unhindered
byTalentflickrcom
Many colleges and universities have demonstratedthat analytics can help significantly advance aninstitution in such strategic areas as resourceallocation student success and finance
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 4
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 5
cygnus921Flickr
What is LA
NYTimes 160212
Is she pregnant
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 6
Daily Mail UK 200312
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 7
TV is watching you
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 2
jbgeronimiflickrcom
ldquoHow to measure the effectiveness of fye activitiesand ensure we r on d right trackrdquo Yesterday by CTldquoNo data no talkrdquo Yesterday by DVC Pradeep Nair
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 3
Unhindered
byTalentflickrcom
Many colleges and universities have demonstratedthat analytics can help significantly advance aninstitution in such strategic areas as resourceallocation student success and finance
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 4
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 5
cygnus921Flickr
What is LA
NYTimes 160212
Is she pregnant
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 6
Daily Mail UK 200312
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 7
TV is watching you
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 3
Unhindered
byTalentflickrcom
Many colleges and universities have demonstratedthat analytics can help significantly advance aninstitution in such strategic areas as resourceallocation student success and finance
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 4
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 5
cygnus921Flickr
What is LA
NYTimes 160212
Is she pregnant
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 6
Daily Mail UK 200312
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 7
TV is watching you
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 4
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 5
cygnus921Flickr
What is LA
NYTimes 160212
Is she pregnant
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 6
Daily Mail UK 200312
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 7
TV is watching you
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 5
cygnus921Flickr
What is LA
NYTimes 160212
Is she pregnant
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 6
Daily Mail UK 200312
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 7
TV is watching you
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
NYTimes 160212
Is she pregnant
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 6
Daily Mail UK 200312
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 7
TV is watching you
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Daily Mail UK 200312
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 7
TV is watching you
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
WSJ 190712
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 8
How do you read
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
NY Times 241112
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 9
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Humans are Subjective
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 10
Mind Sights Original Visual Illusions Ambiguities and Other Anomalies With a Commentary on the Play of Mind in Perception and Art Roger N Shepard 1990
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Learning Analytics
Measurement collection analysisand reporting of data about learnersand their contexts for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 11
(US Dept of Education)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 12
Kurafire
flickrcom
Feedback as a dialogue
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Discipline in its early steps
but with large potential
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 13
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 14
(Manyika et al 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 15
httpww
wlearninganalyticsnetp=131
(lastvisitedS
ep2013)
(Siemens amp Long 2011)
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
wwwsolaresearchorgAbelardo Pardo Learning and Behavioral Analytics From concept to reality 16
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 17
WernerK
unzFlickrcom
(Campbell De Blois Oblinger 2007 Academic Analytics EDUCAUSE)
Collect
Report
Predict
Act
Refine
The fivesteps ofanalytics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 18
Thomas
Leth-Olsen
flickrcom
BusinessIntelligence
KnowledgeDiscovery inDatabases
Technologyenhancedlearning
Socialnetworkanalysis
Educationalmodelling
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 19
zzpzaflickrcom
bull Statistical predictionbull Clustering and profilingbull Relationship miningbull Link prediction in
networksbull Text analysis
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 20
Secretlondon123
flickrcom
1 Context2 Questions3 Data + algorithms4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 21
measure
Joeflickrcom
1 Context Studentretention
2 Questions Why dothey leave Can it beavoided
3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 22
Shaylorflickrcom
1 Context Student success2 Questions How did they
learn3 Data + algorithms 4 Level of intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 23
cygnus921Flickr
What is LA CurrentProjects
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 24
JoeFruchey
flickrcom
MYTH It is a highly sophisticated techniqueIt can be deployed gradually
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 25
tudedudeflickrcom
MYTH LA is a tool to fix a problemLA is a process to buildrefine a model
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 26
HikingA
rtistflickrcom
MYTH Once we have amodel we apply it to allscenarios
Models are derived fromthe scenarios
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 27
DullH
unkflickrcom
Reduce attrition Phone 10 students this semester
Which students When
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 28
colecamp
flickrcom
AB Testing Space usage after change incoursecurriculum
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 29
(Macfadyen amp Dawson 2010)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 30
(Romero Ventura amp Garciacutea 2008)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 31
ww
witappurdueedustudiosignals
(LastaccessedO
ct2013)
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Signals
bull Run by the instructorbull Points so far (Gradebook)bull Time on task (LMS)bull Past performance (SIS)bull Instructor chooses
intervention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 32
Nottsexm
iner
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Rio Salado (AZ USA)
bull Enrolment figuresbull LMS variablesbull Thirty factors consideredbull Separate course modelsbull Naiumlve Bayes classification
methodbull Model is applied to classify
students
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 33
httpcampustechnologycomArticles20111214Monitoring-the-PACE-of-Student-Learning-Analytics-at-Rio-Salado-Collegeaspxp=1
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 34
ww
wsnappvisorg
(LastaccessedO
ct2013)
Bookmarklet in your browser
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Learning Glass
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 35
(Leony et al 2012)
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Data uses
bull Multiple levels of interventionbull Variety of data sourcesbull Commonalities vs differencesbull Require multidisciplinary
work
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 36
(Bichsel 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 37
Zilverbatflickrcom
CPSC Instructors
Student Enrolment Curriculum development
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 38
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 39
(Greller and Drachler 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 40
paral_laxflickrcom
Understand
What ifscenarios
Predict
Optimize
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 41
puthoOrP
hotographyflickrcom
LMS interactions quizzes response times sessionshints requested questionnaires interviews requestsdemographics high school grades etc
(Bienkowski M Feng M amp Means B 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 42
(Campbel DeBlois Oblinger 2007)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 43
deepwarren
Flickr
Observe in and out of the classroom
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 44
ww
wsm
hcomautechnologytechnology-new
suniversities-monitor-online-activity-20130413-2hsj2htm
l(lastaccessedS
ep2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 45
ww
wutseduauresearch-and-teachingour-researchadvanced-analytics-institute
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 46
ww
wcrltum
icheduslam
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 47
Salfalko
flickrcom
Data Wrangler someone comfortable handlingstatistics manipulating data for visualisation andcapable of engaging with academics about the studentexperience and course design It is their job toexperiment with different tools to interpret visualiseand share information with academics as a basis forgaining actionable insights
(Powell amp MacNeil 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 48
(Buckingham Shum 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 49
cygnus921Flickr
What is LA CurrentProjects
SystemicDeployment
BuildingInstitutionalCapacity
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Impact Levels
bull Micro at risk studentsinsight to learnersrecommendations
bull Meso clear understanding ofobjectives increaseproductivity help leaders
bull Macro institutionaltransformation
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 50
gregoriosz
(Buckingham Shum 2012)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 51
Derpunk
flickrcom
Static ReportsDynamicAnalysis andIntervention
Optimization
Phase 1 Phase 2 Phase 3
(Norris amp Baer 2013)
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 52
Allie
Caufield
flickrcom
Practices
Workflows
Processes
Policies
Student Success and Retention
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 53
juhansoninflickrcom
1) Develop culture of using data to make decisions
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 54
Rosellsgirlflickrcom
2) IT dept are key to initiate connection
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 55
Notso
much
flickrcom
3) Multidimensional from the start
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 56
Abraham
Cflickrcom
4) Gradual deployment
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 57
Fhemerick
flickrcom
5) Interfaces that provide value to stakeholders
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 58
Doug
Woods
flickrcom
6) Refinement as intrinsic component of the process
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 59
Laverrueflickrcom
7) Privacy and Ethics
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 60
Pennstatenews
flickrcom
8) Keep the student at the center
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
WillS
cullinFlickr
Learning and Behavioral AnalyticsFrom concept to reality
Taylorrsquos UniversityAcademic Leaders Retreat
4 March 2014
Dr Abelardo Pardo (abelardopardo)Associate Head of Learning and Teaching
School of Electrical and Information Engineering
slidesharenetabelardo_pardo
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
ReferencesArnold K E (2010)Signals Applying Academic AnalyticsEDUCAUSE Quarterly 33(1) 10
Bichsel J (2012)Analytics in Higher Education Benefits Barriers Progress and RecommendationsEDUCAUSE Center for Applied Research
Bienkowski M Feng M amp Means B (2012)Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics USDepartment of Education
Buckingham Shum S (2012)Learning analytics UNESCO policy briefRetrieved from httpiiteunescoorgpicspublicationsenfiles3214711pdfhttpiiteunescoorgpicspublicationsenfiles3214711pdf March 2014
Buckingham Shum S (2013)Building Analytics Capability openeduRetrieved fromhttpwwwslidesharenetsbsbuilding-analytics-capacity-openeduhttpwwwslidesharenetsbsbuilding-analytics-capacity-openedu March2014
Campbell J P DeBlois P B amp Oblinger D G (2007)Academic AnalyticsEducause Review (Vol 42) EDUCAUSE White Paper
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 62
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
References 2Dawson S (2010)ldquoSeeingrdquo the learning community An exploration of the development of a resource for monitoring onlinestudent networkingBritish Journal of Educational Technology 41(5) 736ndash752
Ferguson R (2012)The State of Learning Analytics in 2012 A Review and Future Challenges a review and future challengesTechnical Report Knowledge Media Institute KMIndash12ndash01) The Open University UK
Greller W amp Drachsler H (2012)Translating learning into numbers A generic framework for learning analyticsEducational Technology amp Society 15(3) 42ndash57
Macfadyen L P amp Dawson S (2010)Mining LMS data to develop an ldquoearly warning systemrdquo for educators A proof of conceptComputers amp Education 54(2) 588ndash599
Manyika J Chui M Groves P Farrell D Kuiken S Van amp Doshi E A (2013)Open data Unlocking innovation and performance with liquid informationMcKinsey Global Institute (p 116)
Norris D M amp Baer L L (2013)Building Organizational Capacity for AnalyticsEducause
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 63
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64
References and 3
Powell S amp MacNeil S (2012)Analytics Series Institutional Readiness for Analytics (Vol 1 pp 1ndash11)JISC Center for Educational Technology amp Interoperability Standards Analytics Series 1(8)
Romero C Ventura S amp Garcia E (2008)Data mining in course management systems Moodle case study and tutorialComputers amp Education 51(1) 368ndash384
Siemens G amp Long P (2011)Penetrating the Fog Analytics in Learning and EducationEducause Review 48(5)
Siemens G (2013)Learning Analytics The Emergence of a DisciplineAmerican Behavioral Scientist 57(10) 1380ndash1400
Siemens G Dawson S amp Lynch G (2013)Improving the Quality and Productivity of the Higher Education Sector Policy and Strategy forSystems-Level Deployment of Learning AnalyticsTechnical Report Office for Learning and Teaching Australian Government
Abelardo Pardo Learning and Behavioral Analytics From concept to reality 64