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Recommender systems for learning

Autor Nikos Manouselis; et al
Vydavatel: New York : Springer, ©2013.
Edice: SpringerBriefs in electrical and computer engineering.
Vydání/formát:   e-kniha : Document : EnglishZobrazit všechny vydání a formáty
Databáze:WorldCat
Shrnutí:
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  Přečíst více...
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Detaily

Žánr/forma: Electronic books
Doplňující formát: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
Typ materiálu: Document, Internetový zdroj
Typ dokumentu: Internet Resource, Computer File
Všichni autoři/tvůrci: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
OCLC číslo: 809543571
Popis: 1 online resource (76 p.)
Obsahy: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Název edice: SpringerBriefs in electrical and computer engineering.
Odpovědnost: Nikos Manouselis ... [et al.].
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Anotace:

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  Přečíst více...

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