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Recommender systems for learning

Auteur: Nikos Manouselis; et al
Uitgever: New York : Springer, ©2013.
Serie: SpringerBriefs in electrical and computer engineering.
Editie/Formaat:   eBoek : Document : EngelsAlle edities en materiaalsoorten bekijken.
Database:WorldCat
Samenvatting:
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  Meer lezen...
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Details

Genre/Vorm: Electronic books
Aanvullende fysieke materiaalsoort: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
Genre: Document, Internetbron
Soort document: Internetbron, Computerbestand
Alle auteurs / medewerkers: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
OCLC-nummer: 809543571
Beschrijving: 1 online resource (76 p.)
Inhoud: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Serietitel: SpringerBriefs in electrical and computer engineering.
Verantwoordelijkheid: Nikos Manouselis ... [et al.].
Meer informatie:

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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  Meer lezen...

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