Nikos Manouselis & Hendrik Drachsler 
Recommender Systems for Learning [PDF ebook] 

Support

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.

€64.19
payment methods

Table of Content

Introduction and Background.- TEL as a recommendation context.- Survey and Analysis of TEL Recommender Systems.- Challenges and Outlook.

Buy this ebook and get 1 more FREE!
Language English ● Format PDF ● Pages 76 ● ISBN 9781461443612 ● File size 1.4 MB ● Publisher Springer New York ● City NY ● Country US ● Published 2012 ● Downloadable 24 months ● Currency EUR ● ID 2662743 ● Copy protection Social DRM

More ebooks from the same author(s) / Editor

3,402 Ebooks in this category