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Increasing MOOC completion rates through social interactions: a recommendation system

Abstract : E-learning research shows students who interact with their peers are less likely to drop out from a course, but is this applicable to MOOCs? This paper examines MOOC attrition issues and how encouraging social interactions can address them: using data from 4 sessions of the GdP MOOC, a popular Project Management MOOC, we confirm that students displaying a high level of social interaction succeed more than those who don't. We successively explore two approaches fostering social interactions: 1) in MOOC GdP5, we give access to private group forums, testing various group types and sizes, 2) in MOOC GdP6, we implement a recommendation system, suggesting relevant chat contacts using demographic and progression criteria. This papers presents our preliminary findings.
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Submitted on : Tuesday, February 23, 2016 - 2:53:20 AM
Last modification on : Monday, March 7, 2022 - 5:18:29 PM
Long-term archiving on: : Tuesday, May 24, 2016 - 11:15:51 AM


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  • HAL Id : hal-01277664, version 1


Hugues Labarthe, Rémi Bachelet, François Bouchet, Kalina Yacef. Increasing MOOC completion rates through social interactions: a recommendation system. EMOOCS 2016 Conference. Fourth European MOOCS Stakeholders Summit, University of Graz, Feb 2016, Graz, Austria. pp.471-480. ⟨hal-01277664⟩



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