SpringerBriefs in Electrical and Computer Engineering

Recommender Systems for Learning

Authors: Manouselis, N., Drachsler, H., Verbert, K., Duval, E.

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About this book

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

Table of contents (4 chapters)

Table of contents (4 chapters)

Buy this book

eBook 46,00 €
price for Spain (gross)
  • ISBN 978-1-4614-4361-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-1-4614-4360-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Recommender Systems for Learning
Authors
Series Title
SpringerBriefs in Electrical and Computer Engineering
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4614-4361-2
DOI
10.1007/978-1-4614-4361-2
Softcover ISBN
978-1-4614-4360-5
Series ISSN
2191-8112
Edition Number
1
Number of Pages
XI, 76
Number of Illustrations
4 b/w illustrations
Topics