SRLx

A Personalized Learner Interface for MOOCs

Conference paper (2018)

Authors

D.J. Davis Web Information Systems -

V. Triglianos University of Lugano

C. Hauff Web Information Systems -

G.J.P.M. Houben Web Information Systems -

Research Group

Web Information Systems () (TU Delft)

DOI: https://doi.org/10.1007/978-3-319-98572-5_10

Self-regulated learning Learner modeling Personalized learning

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Published Date

2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

Abstract

Past research in large-scale learning environments has found one of the most inhibiting factors to learners’ success to be their inability to effectively self-regulate their learning efforts. In traditional small-scale learning environments, personalized feedback (on progress, content, behavior, etc.) has been found to be an effective solution to this issue, but it has not yet widely been evaluated at scale. In this paper we present the Personalized SRL Support System (SRLx), an interactive widget that we designed and open-sourced to improve learners’ self-regulated learning behavior in the Massive Open Online Course platform edX. SRLx enables learners to plan their learning on a weekly basis and view real-time feedback on the realization of those plans. We deployed SRLx in a renewable energies MOOC to more than 2,900 active learners and performed an exploratory analysis on our learners’ SRL behavior.

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