Delivery included to the United States

Recommender Systems for Learning

Recommender Systems for Learning - SpringerBriefs in Electrical and Computer Engineering

2013

Paperback (28 Aug 2012)

Save $10.59

  • RRP $75.18
  • $64.59
Add to basket

Includes delivery to the United States

10+ copies available online - Usually dispatched within 7 days

Publisher's 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.

Book information

ISBN: 9781461443605
Publisher: Springer New York
Imprint: Springer
Pub date:
Edition: 2013
DEWEY: 006.4
DEWEY edition: 23
Language: English
Number of pages: 76
Weight: 152g
Height: 234mm
Width: 156mm
Spine width: 4mm