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

Apoio

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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Métodos de Pagamento

Tabela de Conteúdo

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

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Língua Inglês ● Formato PDF ● Páginas 76 ● ISBN 9781461443612 ● Tamanho do arquivo 1.4 MB ● Editora Springer New York ● Cidade NY ● País US ● Publicado 2012 ● Carregável 24 meses ● Moeda EUR ● ID 2662743 ● Proteção contra cópia DRM social

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