Semantics in Educational Recommender Systems
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Recommender systems are information filtering systems that rank items accordingto user interests and preferences. They are widely used on online shopping siteslike Amazon and Netflix, but have also become increasingly popular in educationalcontexts and on e-learning platforms. Many recent recommender systems employvarious semantic techniques to increase the accuracy of the systems or enrich theuser experience in general. The purpose of this study is to investigate the requirement of Semantics in EducationalRecommender Systems and to survey the existing recommender systems for education and e-learning. This study analyzes how recommender systems can be applied to current e-learning systems to guide learners in a personalized way by including e-learning scenarios and a framework providing the classication of the recommender system based on the underlying technology and educational purpose. Keywords: Semantic recommendation, Educational Recommender Systems,Semantics in Educational Recommender Systems, Semantics Recommender Systems,Emotions, Technology enhanced learning, E-learning services.