Recommender Systems for Technology Enhanced Learning

Language: English

Published by Springer, Springer Sep 2016, 2016

1493946560 / 9781493946563

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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

Title
Recommender Systems for Technology Enhanced Learning
Author
Nikos Manouselis
Publisher
Springer, Springer Sep 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1493946560
ISBN 13
9781493946563
Item weight
487 grams
Dimensions
235x155x18 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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