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Published July 8, 2019 | Version v1
Conference paper Restricted

Informing the Design of Collaborative Activities in MOOCs using Actionable Predictions

Description

With the aim of supporting instructional designers in setting up
collaborative learning activities in MOOCs, this paper derives
prediction models for student participation in group discussions.
The salient feature of these models is that they are
built using only data prior to the learning activity, and can
thus provide actionable predictions, as opposed to post-hoc
approaches common in the MOOC literature. Some learning
design scenarios that make use of this actionable information
are illustrated.

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Additional details

Funding

European Commission
WeLearnAtScale - Understanding and Supporting Peer Feedback at Massive Learning Scale 793317