Recommender Systems for Learning von Nikos Manouselis | ISBN 9781461443612

Recommender Systems for Learning

von Nikos Manouselis, Hendrik Drachsler, Katrien Verbert und Erik Duval
Mitwirkende
Autor / AutorinNikos Manouselis
Autor / AutorinHendrik Drachsler
Autor / AutorinKatrien Verbert
Autor / AutorinErik Duval
Buchcover Recommender Systems for Learning | Nikos Manouselis | EAN 9781461443612 | ISBN 1-4614-4361-X | ISBN 978-1-4614-4361-2
Leseprobe

Recommender Systems for Learning

von Nikos Manouselis, Hendrik Drachsler, Katrien Verbert und Erik Duval
Mitwirkende
Autor / AutorinNikos Manouselis
Autor / AutorinHendrik Drachsler
Autor / AutorinKatrien Verbert
Autor / AutorinErik Duval
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.