Recommender Systems for Learning 2013 Edition Contributor(s): Manouselis, Nikos (Author), Drachsler, Hendrik (Author), Verbert, Katrien (Author) |
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ISBN: 1461443601 ISBN-13: 9781461443605 Publisher: Springer OUR PRICE: $61.74 Product Type: Paperback - Other Formats Published: August 2012 |
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. |