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Affective recommender systems in the educational field. A systematic literature review

Abstract:

Students' emotions have been proven to play a fundamental role in the teaching/learning process. As educational content can modify the emotional state, emotions are crucial information to be considered at the time of making suggestions of contents to students in a learning environment. Additionally, in recent years, the research interest in emotion recognition is increasing. Some investigations in affective recommender systems for recommending products on e-commerce have been developed during recent years, but just a little investigation regarding these types of recommender systems in the educational field exists. In this work, a systematic literature review of affective recommender systems in learning environments is performed to explore the state of the art of the influence of emotions in the educational field, especially in content recommender systems. The absence of research work that implements hybridization was identified through the fusion of techniques that can help improve results in emotion recommendation systems in an educational setting.