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Recommender systems for learning

Author: Nikos Manouselis; et al
Publisher: New York : Springer, ©2013.
Series: SpringerBriefs in electrical and computer engineering.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
OCLC Number: 809543571
Description: 1 online resource (76 p.)
Contents: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Series Title: SpringerBriefs in electrical and computer engineering.
Responsibility: Nikos Manouselis ... [et al.].
More information:

Abstract:

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that support and enhance learning practices of individuals and organisations. This brief offers an  Read more...

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