Recommender Systems for Learning (SpringerBriefs in Electrical and Computer Engineering)

Duval, Erik, Verbert, Katrien, Drachsler, Hendrik, Manouselis, Nikos

Published by Springer, 2012
ISBN 10: 1461443601 / ISBN 13: 9781461443605
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Synopsis: 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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Title: Recommender Systems for Learning (...
Publisher: Springer
Publication Date: 2012
Binding: Paperback
Book Condition: Good

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Drachsler, Hendrik
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert
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Book Description Springer-Verlag New York Inc., United States, 2012. Paperback. Book Condition: New. 2013 ed.. Language: English . Brand New Book ***** Print on Demand *****. 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. Bookseller Inventory # APC9781461443605

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Manouselis, Nikos
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Book Description Springer 8/28/2012, 2012. Paperback or Softback. Book Condition: New. Recommender Systems for Learning. Book. Bookseller Inventory # BBS-9781461443605

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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert
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Book Description Springer-Verlag New York Inc., United States, 2012. Paperback. Book Condition: New. 2013 ed.. Language: English . Brand New Book ***** Print on Demand *****.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. Bookseller Inventory # APC9781461443605

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Book Description Springer. Paperback. Book Condition: New. Paperback. 90 pages. Dimensions: 9.0in. x 6.0in. x 0.3in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9781461443605

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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert
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Book Description Springer-Verlag New York Inc., United States, 2012. Paperback. Book Condition: New. 2013 ed.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Bookseller Inventory # LIE9781461443605

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Nikos Manouselis; Hendrik Drachsler; Katrien Verbert; Erik Duval
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