Integrating ‘learning style’information into personalized e-learning system

Abstract

E-Learning environments are based on a range of delivery and collaborative services. Introducing personalized recommender system in e-Learning environments can support learning recommendations to students. The main aim for this paper is to try to increase the student’s efficiency by integrating "Learning styles" information into e-learning environment to achieve the idea of personalization. Students with different goals and different backgrounds are thus treated differently by building a model of knowledge and preferences for each one to form a user modeling structure.