Recommender Systems for Learning
Häftad, Engelska, 2012
Av Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval
829 kr
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Fri frakt för medlemmar vid köp för minst 249 kr.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.
Produktinformation
- Utgivningsdatum2012-08-28
 - Mått155 x 235 x 6 mm
 - Vikt149 g
 - FormatHäftad
 - SpråkEngelska
 - SerieSpringerBriefs in Electrical and Computer Engineering
 - Antal sidor76
 - Upplaga2013
 - FörlagSpringer-Verlag New York Inc.
 - ISBN9781461443605