Increasing MOOC completion rates through social interactions: a recommendation system - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

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.
Fichier principal
Vignette du fichier
EMOOCs 2016-Labarthe_et_al - CameraReadyFINAL2.pdf (217.7 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01277664 , version 1 (23-02-2016)

Licence

Identifiers

  • HAL Id : hal-01277664 , version 1

Cite

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⟩
1296 View
537 Download

Share

Gmail Mastodon Facebook X LinkedIn More