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

Conference Paper (2016)
Author(s)

Dan Davis (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Guanliang Chen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Ioana Jivet (Student TU Delft)

Claudia Hauff (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Geert-Jan Houben (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Web Information Systems
More Info
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Publication Year
2016
Language
English
Research Group
Web Information Systems
Pages (from-to)
17-22
Downloads counter
214

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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