ENGLISH

Recommender Systems for Learning

By Nikos Manouselis , Hendrik Drachsler , Katrien Verbert , Erik Duval (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2013
ISBN
978-1-4614-4360-5, 978-1-4614-4361-2
DOI
10.1007/978-1-4614-4361-2
Language
english
Format
PDF
Filesize
1 MB (1102552 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
76\84
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Information Systems and Communication Service; Edu

Description

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.

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