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9781493946563: Recommender Systems for Technology Enhanced Learning: Research Trends and Applications

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ISBN 10 : 1493946560 ISBN 13 : 9781493946563

Editeur : Springer, 2016

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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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�diteur: Springer
Date d'�dition: 2016
Langue: anglais
ISBN 10: 1493946560
ISBN 13: 9781493946563
Reliure: Broch�
Nombre de pages: 320
�diteur: Manouselis Nikos, Drachsler Hendrik, Verbert Katrien, Santos Olga C.
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9781493905294: Recommender Systems for Technology Enhanced Learning: Research Trends and Applications

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Recommender Systems for Technology Enhanced Learning. Research Trends and Applications.

Manouselis, Nikos; Drachsler, Hendrik et al (Eds.)

Edit� par New York, NY ; s.l., Springer New York/Imprint: Springer., 2014

ISBN 10 : 1493946560 ISBN 13 : 9781493946563

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ed. 2014. XIV, 306 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband besto�en, daher M�ngelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stemped. Sprache: Englisch. N� de r�f. du vendeur 8222JB

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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications [Paperback] Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien and Santos, Olga C. (eng)

Manouselis, Nikos

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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications

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Recommender Systems for Technology Enhanced Learning

Nikos Manouselis

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Taschenbuch. 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 r�f. du vendeur 9781493946563

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Recommender Systems for Technology Enhanced Learning

Manouselis, Nikos|Drachsler, Hendrik|Verbert, Katrien|Santos, Olga C.

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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 r�f. du vendeur 203124842

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Recommender Systems for Technology Enhanced Learning | Research Trends and Applications

Nikos Manouselis (u. a.)

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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications

Manouselis, Nikos (Editor)/ Drachsler, Hendrik (Editor)/ Verbert, Katrien (Editor)/ Santos, Olga C. (Editor)

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Recommender Systems for Technology Enhanced Learning

Nikos Manouselis

Edit� par Springer New York, Springer US Sep 2016, 2016

ISBN 10 : 1493946560 ISBN 13 : 9781493946563

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Taschenbuch. Etat : Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch. N� de r�f. du vendeur 9781493946563

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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications

Nikos Manouselis

Edit� par Springer New York, Springer US, 2016

ISBN 10 : 1493946560 ISBN 13 : 9781493946563

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9781493946563

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