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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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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2014
- ISBN 10 1493905295
- ISBN 13 9781493905294
- ReliureRelié
- Langueanglais
- Nombre de pages306
- ÉditeurManouselis Nikos, Drachsler Hendrik, Verbert Katrien, Santos Olga C.
- Coordonnées du fabricantnon disponible
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Edité par
Springer New York, 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut - Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 | Seiten: 320 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 24443017/12
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Recommender Systems for Technology Enhanced Learning
Edité par
Springer New York, 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
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Couverture rigide
Vendeur : moluna, Greven, Allemagne
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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 : Research Trends and Applications
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Hardcover. Etat : Neu. Neu Neuware, auf Lager - 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 réf. du vendeur INF1000763552
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Recommender Systems for Technology Enhanced Learning
Edité par
Springer New York Apr 2014, 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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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
Edité par
Springer New York, Springer US, 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. 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 réf. du vendeur 9781493905294
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9781493905294_new
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Edité par
Springer-Verlag New York Inc., 2014
ISBN 10 : 1493905295
ISBN 13 : 9781493905294
Neuf
Couverture rigide
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 620. N° de réf. du vendeur C9781493905294
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Recommender Systems for Technology Enhanced Learning
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 322. N° de réf. du vendeur 26127090189
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 320 pages. 9.50x6.25x0.75 inches. In Stock. N° de réf. du vendeur x-1493905295
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Recommender Systems for Technology Enhanced Learning
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 322 67 Illus. N° de réf. du vendeur 132415954
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