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Seminar on learning analytics at SURF in Utrecht, 7 March 2013.
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THE STUDENT ACTIVITY METER.
Sten Govaerts(KULeuven, Belgium/EPFL, Switzerland)
Seminar on Tools for Learning Analytics7 March 2013, SURF, Utrecht.
KULeuven team:Human-Computer Interaction
• technology enhanced learning•music• research
EPFL team:REACT - Real-time Coordination & Distributed Interaction Systems Group
• technology enhanced learning• social media• transportation
http://hci.cs.kuleuven.be/
http://react.epfl.ch/
OBJECTIVES
• self-monitoring for learners
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http://free-extras.com/images/obama_hope_progress-2848.htm
OBJECTIVES
• self-monitoring for learners
• awareness for teachers
4
http://free-extras.com/images/obama_hope_progress-2848.htm
OBJECTIVES
• self-monitoring for learners
• awareness for teachers
• time tracking
4
http://free-extras.com/images/obama_hope_progress-2848.htm
OBJECTIVES
• self-monitoring for learners
• awareness for teachers
• time tracking
• learning resource use and recommendations
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http://free-extras.com/images/obama_hope_progress-2848.htm
STUDENT ACTIVITY METER
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STUDENT ACTIVITY METER
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STUDENT ACTIVITY METER
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METHODOLOGY.• design-based research [Obrenović 2011]: design a tool, give
students & teachers and evaluate
• iterative process of design & evaluation
• paper mockups
• usability studies
• surveys on usefulness
8http://funnytogo.com/pictures/evolution/timeline.htm
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iter. evaluation goal methodology demo-graphics data
I.usability, satisfaction,
preliminary usefulness
task-based interview with think-aloud, SUS
& MSDT12 CS students at KULeuven
timetracking via Twitter
II.assessing teacher
needs, use & usefulness
online survey with Likert items, yes/no and open questions
19 teachers & TA’s with
CGIAR coursesMoodle logs
III.assessing teacher
needs, expert feedback, use &
usefulness
online survey with Likert items, yes/no and open questions
12 participants from LAK MOOC
Moodle logs
IV. use, usefulness & satisfaction
structured face-to-face interview with tasks &
open questions
11 teachers & TA’s at Carlos III
Uni. Madrid
VM with extensive
tool tracking
CONCLUSION
• SAM is perceived useful and contributes to better awareness.
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CONCLUSION
• SAM is perceived useful and contributes to better awareness.
• SAM enables:
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CONCLUSION
• SAM is perceived useful and contributes to better awareness.
• SAM enables:
• to detect potential students doing well and at risk
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CONCLUSION
• SAM is perceived useful and contributes to better awareness.
• SAM enables:
• to detect potential students doing well and at risk• a better course overview
10
CONCLUSION
• SAM is perceived useful and contributes to better awareness.
• SAM enables:
• to detect potential students doing well and at risk• a better course overview• understanding student time spending
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CONCLUSION
• SAM is perceived useful and contributes to better awareness.
• SAM enables:
• to detect potential students doing well and at risk• a better course overview• understanding student time spending• to find a wide variety of new insights
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CONCLUSION
• SAM is perceived useful and contributes to better awareness.
• SAM enables:
• to detect potential students doing well and at risk• a better course overview• understanding student time spending• to find a wide variety of new insights
• almost all want to continue using SAM10
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slides will appear on http://www.slideshare.net/stengovaertsslides will appear on http://www.slideshare.net/stengovaerts 11
contact: [email protected]
