Expert personalized e-learning recommender system

Abstract

E-learning environments are based on a range of delivery and collaborative services. Introducing personalized recommender system in e-learning environment can support learning recommendations to learners. This paper proposes a framework for expert personalized e-learning recommender system EPERS. An EPERS can help learners in finding learning materials that best suits their needs. In the proposed framework a rule-based expert system is developed to find suitable learning materials that best meet each learner’s requirements.