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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications - Couverture rigide
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.
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
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Recommender Systems for Technology Enhanced Learning (Hardcover)
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Hardcover. Etat : new. Hardcover. 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. Recommender Systems for Technology Enhanced Learning Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781493905294
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
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Springer, 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications (eng)
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
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Recommender Systems for Technology Enhanced Learning
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Springer New York Apr 2014, 2014
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 320 pp. Englisch. N° de réf. du vendeur 9781493905294
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
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Recommender Systems for Technology Enhanced Learning
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Springer New York, 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL)International contributions are included to demonstrate the merging of various efforts and communities. N° de réf. du vendeur 4213825
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Edité par
Springer, 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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