Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
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By Nikos Manouselis (Editor), Hendrik Drachsler (Editor), Katrien Verbert (Editor), Olga C. Santos (Editor)
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As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.
Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, d...






















