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Comparing Peer Recommendation Strategies in a MOOC

Abstract : Lack of social relationship has been shown to be an important contribution factor for attrition in Massive Open Online Courses (MOOCs). Helping students to connect with other students is therefore a promising solution to alleviate this phenomenon. Following up on our previous research showing that embedding a peer recommender in a MOOC had a positive impact on stu-dents’ engagement in the MOOC, we compare in this paper the impact of three different peer recommenders: one based on so-cio-demographic criteria, one based on current progress made in the MOOC, and the last one providing random recommenda-tions. We report our results and analysis (N = 2025 students), suggesting that the socio-demographic-based recommender had a slightly better impact than the random one.
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Contributor : François Bouchet Connect in order to contact the contributor
Submitted on : Tuesday, February 12, 2019 - 12:05:11 PM
Last modification on : Friday, January 7, 2022 - 3:47:51 AM
Long-term archiving on: : Monday, May 13, 2019 - 2:03:56 PM

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François Bouchet, Hugues Labarthe, Kalina Yacef, Rémi Bachelet. Comparing Peer Recommendation Strategies in a MOOC. UMAP’17 4th international workshop on Educational Recommender Systems, Jul 2017, Bratislava, Slovakia. pp.129-134, ⟨10.1145/3099023.3099036⟩. ⟨hal-01531503⟩

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