Recommendation of Pedagogical Resources Based on Learners’ Profiles

Abstract

To help the learner mind in his selection process, several recommender systems have attracted researchers in e-learning systems. The recommendation system solves the problem of overload information due to the multitude of resources and interactions. How select the appropriate pedagogical resources and providing suitable ones for learners is the main objective of this work. Thus, in order to help these learners, we take into account their social relationships, the course they follow and their evaluation according to their levels. These factors are extracted to define three types of recommendations: the recommendation of the most visited resources, the recommendation of the most evaluated resources and the recommendation of the useful resources. All these propositions are used by an approach that is solid, new and solves the cold start problem. It is adopted by a system called RR-LEARNER (Resources Recommendation for LEARNER) where its use gives good results.

Keywords

• Learning
• CSCL
• Recommendation System
• Learner Profile
• Educational Resources

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