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Recommender systems for learning

Auteur : Nikos Manouselis
Éditeur : New York : Springer, ©2013.
Collection : SpringerBriefs in electrical and computer engineering.
Édition/format :   Livre électronique : Document : EnglishVoir toutes les éditions et tous les formats
Base de données :WorldCat
Résumé :
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  Lire la suite...
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Détails

Genre/forme : Electronic books
Format – détails additionnels : Print version:
Recommender systems for learning.
New York : Springer, ©2013
(OCoLC)793571937
Type d’ouvrage : Document, Ressource Internet
Format : Internet Resource, Computer File
Tous les auteurs / collaborateurs : Nikos Manouselis
ISBN : 9781461443612 146144361X
Numéro OCLC : 809543571
Description : 1 online resource (76 pages).
Contenu : Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Titre de collection : SpringerBriefs in electrical and computer engineering.
Responsabilité : Nikos Manouselis [and others].
Plus d’informations :

Résumé :

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  Lire la suite...

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