KTI-MOOC: un système de recommandation pour la personnalisation du processus d'échange d'informations dans les MOOCs
Abstract
In order to help learners take advantage of the MOOC (Massive Open Online Course) they
follow, we propose a tool to recommend to each of them an ordered list of “Leader learners” to
support him during his learning process. The recommendation phase is based on a multicriteria
approach for the periodic prediction of the “Leader learners”. Given the heterogeneity of
the learners' profiles, we recommend to each of them the appropriate leaders by using the
Euclidean distance and the demographic filtering technique.