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1 | 08-11-2016
1 |
centrum voor informatie technologie
ews
08-11-2016
Active Learning at UG SURF Onderwijsdagen
2 | 08-11-2016
Agenda › slides in English
› educational vision UG
characteristics
short video on EWS
› project Early Warning Signals (EWS)
freshmen
Law, Theology, Science, Sociology
±1000 students
› example from course Calculus
https://youtu.be/3L3f2KpAlzU
3 | 08-11-2016
Educational vision UG › 2010-2015 Key elements:
inspire each other (academic knowledge) get best out of each other (ambitions) collaborate and contribute (academic community)
› Successful pilots with educational concepts: research-driven education communities of learners international classroom e-learning
› Results: improved student success (more students more ECTS more
diplomas less time) increased student satisfaction 100% compliant to "prestatieafspraken" top 100 University
http://www.rug.nl/about-us/who-are-we/strategic-plan/strategic-goals/education
4 | 08-11-2016
2016-2020 › Innovative education to educate innovators
› Key elements:
Active Learning
Inclusion
› Meaning for students:
Every student prepared for every class
Students become involved, committed and responsible for their own learners path
University cares
7 | 08-11-2016
Early Warning Signals
+ signals
+ interventions
Early Warning Signals
1. Academic preparation
• prior education, student characteristics
2. Student performance
• student workload, attempts, grading
3. Student effort
• activity in learning environment
8 | 08-11-2016
Project › The gem cannot be polished without friction,
nor man perfected without trials (ZWGG)
› Challenges & Goals to be addressed
› Who are the Stakeholders
› What data are you providing them with
› Stakeholder Actions – what do you expect them to do with the data
› Unexpected Challenges
› Where next for the University of Groningen – other uses of the data?
9 | 08-11-2016
Enable to become active › stakeholders (3 out of 7)
student: find out about performance and behaviour compared with peers
instructor: real-time insights into online behaviour
study advisor: identify at-risk students earlier
› infrastructure (data warehouse)
BB Learn + SIS
Blackboard Analytics for Learn (A4L)
10 | 08-11-2016
› A Packaged Analytics Application
Transformation
Layer
Best Practices
Defined Metrics
Business Rules
Derived Information
Data
Warehouse
OLAP
Star Schema
Pre-Built
Reports &
Dashboards
Pre-Built Data
Integration
Bb
Learn
Other
ERP
Blackboard Approach A4L
11 | 08-11-2016
Calculus › freshmen (Math, Physics, Astronomy)
› ± 300 students (differ in GPA, prior education)
› block of 10 weeks
› start entrée test
› invisible students
› pass rate final test max. 75%
21 | 08-11-2016
Preliminary results › students
support A4L (96%)
become active in course
some become alert on correct study choice
› instructor
earlier & correct detection invisible students
effective remedial teaching
maybe better grade distribution
› study advisor
earlier contact
study advice (effective studying)
22 | 08-11-2016
Next semester › strenghten
educational innovation (course re-design)
actions by 3 stakeholders
› datawarehouse and privacy
increase data quality (ZWGG)
perform Privacy Impact Assessment (PIA)
draft a Code of Practice
› reports and dash boards
analyze historical data
customization