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Journal Articles International Journal of Learning Technology Year : 2018

Social recommender approach for technology-enhanced learning


The present work fits into the context of recommender systems for educational resources, especially systems that use social information. Based on the research results in the field of recommender systems, social networks and technology-enhanced learning, we defined an educational resource recommendation approach. We rely on social relations between learners to improve recommendation accuracy. Our proposal is based on formal models that generate three types of recommendation, namely recommendation of popular resources, useful resources and recently viewed resources. We developed a learning platform which integrates our recommendation models. In
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hal-01798108 , version 1 (23-05-2018)



Mohammed Tadlaoui, Karim Sehaba, Sébastien George, Azeddine Chikh, Karim Bouamrane. Social recommender approach for technology-enhanced learning. International Journal of Learning Technology, 2018, 13 (1), pp.61-89. ⟨10.1504/IJLT.2018.091631⟩. ⟨hal-01798108⟩
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