Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Manouselis, Nikos (EDT); Drachsler, Hendrik (EDT); Verbert, Katrien (EDT); Santos, Olga C. (EDT)
ISBN 10: 1493946560 ISBN 13: 9781493946563
Published by Springer, 2016
New
Soft cover
From
GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since 6 April 2009
This specific item is no longer available.
About this Item
Description:
Seller Inventory # 27362990-n
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.
Review:
From the book reviews:
“Book represents a collection of state-of-the-art contributions devoted to RSs for TEL and explores contemporary research achievements in the area. ... This very interesting, well-timed volume will provide great opportunities for PhD students and newcomers to this field to continue with high-quality research efforts. The book is also interesting for master’s students who would like to acquire adequate knowledge and emergent research achievements in this field. Secondary school teachers and experienced researchers could also find this book useful and interesting.” (M. Ivanović, Computing Reviews, October, 2014)
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Recommender Systems for Technology Enhanced ...
Publisher: Springer
Publication Date: 2016
Binding: Soft cover
Condition: New
Top Search Results from the AbeBooks Marketplace
Stock Image
Recommender Systems for Technology Enhanced Learning. Research Trends and Applications.
Published by
New York, NY ; s.l., Springer New York/Imprint: Springer., 2014
ISBN 10: 1493946560
ISBN 13: 9781493946563
Used
Softcover
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Seller rating 4 out of 5 stars
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. Seller Inventory # 8222JB
Stock Image
Recommender Systems for Technology Enhanced Learning: Research Trends and Applications [Paperback] Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien and Santos, Olga C. (eng)
Print on DemandSeller: Brook Bookstore On Demand, Napoli, NA, Italy
Seller rating 3 out of 5 stars
Condition: new. Questo è un articolo print on demand. Seller Inventory # 5e860678d1815250e6aaa9aee5b2c4eb
Buy New
£ 77.04
£ 5.90 shipping
Ships from Italy to U.S.A.
Ships from Italy to U.S.A.
Quantity: Over 20 available
Seller Image
Recommender Systems for Technology Enhanced Learning
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 203124842
Buy New
£ 82.42
£ 42.49 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Recommender Systems for Technology Enhanced Learning | Research Trends and Applications
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Recommender Systems for Technology Enhanced Learning | Research Trends and Applications | Nikos Manouselis (u. a.) | Taschenbuch | xiv | Englisch | 2016 | Springer | EAN 9781493946563 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 103425555
Seller Image
Recommender Systems for Technology Enhanced Learning
Published by
Springer, Springer Sep 2016, 2016
ISBN 10: 1493946560
ISBN 13: 9781493946563
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch. Seller Inventory # 9781493946563
Seller Image
Recommender Systems for Technology Enhanced Learning
Published by
Springer New York Sep 2016, 2016
ISBN 10: 1493946560
ISBN 13: 9781493946563
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9781493946563
Stock Image
Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781493946563_new
Buy New
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Seller Image
Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9781493946563
Stock Image
Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Published by
Springer-Verlag New York Inc, 2016
ISBN 10: 1493946560
ISBN 13: 9781493946563
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. reprint edition. 320 pages. 9.25x6.10x0.71 inches. In Stock. Seller Inventory # x-1493946560
Buy New
£ 129.97
£ 10 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 2 available
Stock Image
Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 306. Seller Inventory # 26375189172