Integrating ‘learning style’information into personalized e-learning system
Hamad, Ahmed Al-
Zoubi, AY Al-
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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.
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