Recommender Systems for Learning

Nikos Manouselis

ISBN 10: 1461443601 / ISBN 13: 9781461443605

Editore: Springer New York, Springer US, 2012

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Codice articolo 9781461443605

Dati bibliografici

• Titolo: Recommender Systems for Learning
• Editore: Springer New York, Springer US
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461443601
• ISBN 13: 9781461443605
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 6 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 6 millimetri di profondità
• Peso: 149 grammi

Descrizione articolo

Riassunto

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.