LAK 2016 Workshop on Learning Analytics for Learners

1. DelftTU
Encouraging Metacognition &
Self-Regulation in MOOCs
through Increased Learner
Feedback
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Dan Davis · Guanliang Chen · Ioana Jivet · Claudia Hauff · Geert-Jan Houben
Learning Analytics for Learners Workshop · LAK 2016

2. Learning Analytics @ TU Delft
-
Using & advancing user modeling techniques in
the context of open online education at scale in
developing a learner modeling-focused approach
to learning analytics

3. Research Question
-
Can a comparison to previously successful*
learners serve as a helpful form of feedback
to increase MOOC learners’ engagement
and success?

4. Related Work
-
The Search Dashboard (Bateman 2012)
...treats searching like a learnable skill

5. Learning Tracker Widget:
Design Rationale
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· Treat learning like a learnable skill
· Equip learners with cognitive toolkit
· Practicable information
· Compare to previous successful* learners
· Non-judgemental

6. Learning Tracker Widget:
Demonstration
-
· Ran in DelftX Drinking Water MOOC
· Currently running in 2 more MOOCs
· Link

7. Learning Tracker
Average graduate You
Time on the
platform
Time watching
videos
Fraction of time
spent watching
videos while on
the platform
Videos watched
Quiz answers
submitted
Timeliness of
quiz answer
submission

8. Preliminary Findings
-
· 2 of 6 metrics lead to significant differences

9. Preliminary Findings
-
· increases in some engagement metrics

10. Preliminary Findings
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· higher final grades earned

11. QUESTIONS
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· identifying SRL via log traces
· defining “successful” learners
· data & general literacy
· which metrics should be fed back?
· compare to whom?