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

Sokongan

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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Jadual kandungan

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

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Bahasa Inggeris ● Format PDF ● Halaman-halaman 76 ● ISBN 9781461443612 ● Saiz fail 1.4 MB ● Penerbit Springer New York ● Bandar raya NY ● Negara US ● Diterbitkan 2012 ● Muat turun 24 bulan ● Mata wang EUR ● ID 2662743 ● Salin perlindungan Social DRM

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