
Recommender Systems for Learning
Springer (Publisher)
Published on 28. August 2012
Book
Paperback/Softback
XI, 76 pages
978-1-4614-4360-5 (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
Edition
2013 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
4 s/w Abbildungen
XI, 76 p. 4 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 6 mm
Weight
149 gr
ISBN-13
978-1-4614-4360-5 (9781461443605)
DOI
10.1007/978-1-4614-4361-2
Schweitzer Classification
Other editions
Additional editions

Nikos Manouselis | Hendrik Drachsler | Katrien Verbert
Recommender Systems for Learning
E-Book
08/2012
1st Edition
Springer
€64.19
Available for download
Content
Introduction and Background.- TEL as a recommendation context.- Survey and Analysis of TEL Recommender Systems.- Challenges and Outlook.