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Encouraging Metacognition & Relf-Regulation in MOOCs through Increased Learner Feedback

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LAK 2016 Workshop on Learning Analytics for Learners

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Encouraging Metacognition & Relf-Regulation in MOOCs through Increased Learner Feedback

  1. 1. DelftTU Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback - Dan Davis · Guanliang Chen · Ioana Jivet · Claudia Hauff · Geert-Jan Houben Learning Analytics for Learners Workshop · LAK 2016
  2. 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. 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. 4. Related Work - The Search Dashboard (Bateman 2012) ...treats searching like a learnable skill
  5. 5. Learning Tracker Widget: Design Rationale - · Treat learning like a learnable skill · Equip learners with cognitive toolkit · Practicable information · Compare to previous successful* learners · Non-judgemental
  6. 6. Learning Tracker Widget: Demonstration - · Ran in DelftX Drinking Water MOOC · Currently running in 2 more MOOCs · Link
  7. 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. 8. Preliminary Findings - · 2 of 6 metrics lead to significant differences
  9. 9. Preliminary Findings - · increases in some engagement metrics
  10. 10. Preliminary Findings - · higher final grades earned
  11. 11. QUESTIONS - · identifying SRL via log traces · defining “successful” learners · data & general literacy · which metrics should be fed back? · compare to whom?

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