Recommender Systems for Learning
Başlık:
Recommender Systems for Learning
ISBN:
9781461443612
Personal Author:
Edition:
1st ed. 2013.
Yayın Bilgileri:
New York, NY : Springer New York : Imprint: Springer, 2013.
Fiziksel Tanımlama:
XI, 76 p. 4 illus. online resource.
Series:
SpringerBriefs in Electrical and Computer Engineering,
Contents:
Introduction and Background -- TEL as a recommendation context -- Survey and Analysis of TEL Recommender Systems -- Challenges and Outlook.
Abstract:
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.
Ek Kurum Yazarı:
Elektronik Erişim:
Full Text Available From Springer Nature Engineering 2013 Packages
Dil:
English