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Recommender Systems for Learning
Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Duval, Erik
€ 73.04
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Description for Recommender Systems for Learning
Paperback. Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that support and enhance learning practices of individuals and organisations. This brief offers an introduction to recommender systems for TEL settings. It highlights their particularities compared to recommender systems for other application domains. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 87 pages, 4 black & white illustrations, 10 black & white tables, biography. BIC Classification: JNV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 4. Weight in Grams: 148.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
87
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
76
Place of Publication
New York, NY, United States
ISBN
9781461443605
SKU
V9781461443605
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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