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

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

Research Question-Can a comparison to previously successful*

learners serve as a helpful form of feedback

to increase MOOC learners’ engagement

and success?

Related Work-The Search Dashboard (Bateman 2012)

...treats searching like a learnable skill

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

Learning Tracker Widget:Demonstration-· Ran in DelftX Drinking Water MOOC

· Currently running in 2 more MOOCs

· Link

Learning Tracker

Average graduate You

Time on theplatform

Time watchingvideos

Fraction of timespent watchingvideos while onthe platform

Videos watched

Quiz answerssubmitted

Timeliness ofquiz answersubmission

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

Preliminary Findings-· increases in some engagement metrics

Preliminary Findings-· higher final grades earned

QUESTIONS-· identifying SRL via log traces

· defining “successful” learners

· data & general literacy

· which metrics should be fed back?

· compare to whom?