RNTI

MODULAD
KTI-MOOC: un système de recommandation pour la personnalisation du processus d'échange d'informations dans les MOOCs
In EGC 2018, vol. RNTI-E-34, pp.471-474
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.