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

Supporto

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.

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Tabella dei contenuti

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

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Lingua Inglese ● Formato PDF ● Pagine 76 ● ISBN 9781461443612 ● Dimensione 1.4 MB ● Casa editrice Springer New York ● Città NY ● Paese US ● Pubblicato 2012 ● Scaricabile 24 mesi ● Moneta EUR ● ID 2662743 ● Protezione dalla copia DRM sociale

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