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Recommender systems for learning

Autore: Nikos Manouselis; et al
Editore: New York : Springer, ©2013.
Serie: SpringerBriefs in electrical and computer engineering.
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
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  Per saperne di più…
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Genere/forma: Electronic books
Informazioni aggiuntive sul formato: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
Tutti gli autori / Collaboratori: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
Numero OCLC: 809543571
Descrizione: 1 online resource (76 p.)
Contenuti: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Titolo della serie: SpringerBriefs in electrical and computer engineering.
Responsabilità: Nikos Manouselis ... [et al.].
Maggiori informazioni:

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  Per saperne di più…

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