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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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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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Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
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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. Codice articolo 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)
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
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Condizione: New. SUPER FAST SHIPPING. Codice articolo 9781493946563
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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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Condizione: As New. Unread book in perfect condition. Codice articolo 27362990
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
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Recommender Systems for Technology Enhanced Learning (Paperback)
Editore:
Springer-Verlag New York Inc., New York, 2016
ISBN 10: 1493946560
ISBN 13: 9781493946563
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Paperback. Condizione: 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. Codice articolo 9781493946563
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Recommender Systems for Technology Enhanced Learning
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Springer New York Sep 2016, 2016
ISBN 10: 1493946560
ISBN 13: 9781493946563
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9781493946563
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 306. Codice articolo 26375189172
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