Recommender Systems for Technology Enhanced Learning: Research Trends and Applications by Nikos Manouselis, Hendrik Drachsler, Katrien Verbert and Olga C. Santos
English | 2014 | ISBN: 1493905295 | 306 pages | PDF | 6,5 MB
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.