Recommender Systems for Learning (Paperback, 2013 ed.)

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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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Product 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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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

SpringerBriefs in Electrical and Computer Engineering

Release date

August 2012

Availability

Expected to ship within 10 - 15 working days

First published

2013

Authors

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Dimensions

235 x 155 x 4mm (L x W x T)

Format

Paperback

Pages

76

Edition

2013 ed.

ISBN-13

978-1-4614-4360-5

Barcode

9781461443605

Categories

LSN

1-4614-4360-1



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