Peer Recommenders for MOOCs


Lack of social relationships has been shown to be an important contributing factor for attrition in Massive Open Online Courses (MOOCs). This project aims at helping students to connect with other students to alleviate this phenomenon, by enhancing MOOCs with a peer-recommender system to encourage interactions, thus improving learning and reducing attrition. It explores various recommendation strategies and different ways to integrate the peer recommender system into the MOOC learning process.

Team members

Kalina Yacef (CHAI, USyd), Francois Bouchet (UMPC, Paris, France), Hugues Labarthe (Délégation Académique au Numérique Éducatif de Créteil (Academic Department of Digital Education), France)