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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications - Couverture rigide

 
9781493905294: Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Couverture rigide
ISBN 10 : 1493905295 ISBN 13 : 9781493905294
Editeur : Springer-Verlag New York Inc., 2014

Synopsis

As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.

Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.

Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer-Verlag New York Inc.
Date d'édition
2014
Langue
anglais
ISBN 10 
1493905295
ISBN 13 
9781493905294
Reliure
Relié
Nombre de pages
320
Éditeur
Manouselis Nikos, Drachsler Hendrik, Verbert Katrien, Santos Olga C.
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
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