Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback
D.J. Davis (TU Delft - Web Information Systems)
Guanliang Chen (TU Delft - Web Information Systems)
I. Jivet (Student TU Delft)
C. Hauff (TU Delft - Web Information Systems)
G.J.P.M. Houben (TU Delft - Web Information Systems)
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Abstract
Learning analytics for learners has the ability to greatly improve learners' self-regulation. Current learner dashboards are mostly providing learners with an isolated view of their learning behavior, while we believe learners will gain more
from a comparison of their own behavior with that of successful peer learners. In this work-in-progress demonstration we describe our design of a Learning Tracker widget that provides MOOC learners with timely and goal-oriented (i.e. towards passing the course) feedback in a manner that encourages reflection and self-regulation. We also present some preliminary ndings which show how exposure to feedback can signicantly increase student success and engagement.
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