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Recommender Systems for Learning 2013 Edition
Contributor(s): Manouselis, Nikos (Author), Drachsler, Hendrik (Author), Verbert, Katrien (Author)
ISBN: 1461443601     ISBN-13: 9781461443605
Publisher: Springer
OUR PRICE:   $61.74  
Product Type: Paperback - Other Formats
Published: August 2012
Qty:
Additional Information
BISAC Categories:
- Education
- Computers | Internet - General
- Computers | Optical Data Processing
Dewey: 006.4
LCCN: 2012940235
Series: Springerbriefs in Electrical and Computer Engineering
Physical Information: 0.19" H x 6.14" W x 9.21" (0.30 lbs) 76 pages
 
Descriptions, Reviews, Etc.
Publisher 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.