Nikos Manouselis

(Author)

Recommender Systems for Learning (2013)Paperback - 2013, 28 August 2012

Recommender Systems for Learning (2013)
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Part of Series
Springerbriefs in Electrical and Computer Engineering
Print Length
76 pages
Language
English
Publisher
Springer
Date Published
28 Aug 2012
ISBN-10
1461443601
ISBN-13
9781461443605

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.

Product Details

Authors:
Nikos ManouselisHendrik DrachslerKatrien VerbertErik Duval
Book Edition:
2013
Book Format:
Paperback
Country of Origin:
NL
Date Published:
28 August 2012
Dimensions:
23.39 x 15.6 x 0.48 cm
Genre:
Science/Technology Aspects
ISBN-10:
1461443601
ISBN-13:
9781461443605
Language:
English
Location:
New York, NY
Pages:
76
Publisher:
Weight:
136.08 gm

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