Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Recommender Systems for Learning

Recommender Systems for Learning

Manouselis, Nikos
Drachsler, Hendrik
Verbert, Katrien

Paperback

Series: Springerbriefs in Electrical and Computer Engineering, Book 0

General ComputersGeneral Education

ISBN10: 1461443601
ISBN13: 9781461443605
Publisher: Springer
Published: Aug 28 2012
Pages: 76
Weight: 0.30
Height: 0.19 Width: 6.14 Depth: 9.21
Language: English
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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