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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications - Couverture souple
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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New York, NY ; s.l., Springer New York/Imprint: Springer., 2014
ISBN 10 : 1493946560
ISBN 13 : 9781493946563
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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ed. 2014. XIV, 306 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar 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 réf. 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)
impression à la demandeVendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 5e860678d1815250e6aaa9aee5b2c4eb
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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 : Research Trends and Applications
Edité par
Springer, 2016
ISBN 10 : 1493946560
ISBN 13 : 9781493946563
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 27362990
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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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Recommender Systems for Technology Enhanced Learning (Paperback)
Edité par
Springer-Verlag New York Inc., New York, 2016
ISBN 10 : 1493946560
ISBN 13 : 9781493946563
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Paperback. Etat : new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781493946563
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Recommender Systems for Technology Enhanced Learning
Edité par
Springer New York Sep 2016, 2016
ISBN 10 : 1493946560
ISBN 13 : 9781493946563
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Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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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 réf. du vendeur 9781493946563
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Recommender Systems for Technology Enhanced Learning
Edité par
Springer-Verlag New York Inc., 2016
ISBN 10 : 1493946560
ISBN 13 : 9781493946563
Neuf
Couverture souple
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
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Etat : New. Editor(s): Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C. Num Pages: 320 pages, 67 black & white illustrations, 30 black & white tables, biography. BIC Classification: JN; UT; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 492. . 2016. Paperback. . . . . N° de réf. du vendeur V9781493946563
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Recommender Systems for Technology Enhanced Learning
Edité par
Springer New York, 2016
ISBN 10 : 1493946560
ISBN 13 : 9781493946563
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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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 réf. du vendeur 203124842
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