Recommender Systems for Learning
1st Edition
Published on 28. August 2012
XI, 76 pages
978-1-4614-4361-2 (ISBN)
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.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XI, 76 p. 4 illus.
File size
1,59 MB
ISBN-13
978-1-4614-4361-2 (9781461443612)
DOI
10.1007/978-1-4614-4361-2
Schweitzer Classification
Other editions
Additional editions
Nikos Manouselis | Hendrik Drachsler | Katrien Verbert
Recommender Systems for Learning
Book
08/2012
Springer
€64.19
Shipment within 15-20 days
Content
Introduction and Background.- TEL as a recommendation context.- Survey and Analysis of TEL Recommender Systems.- Challenges and Outlook.
