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Recommender systems for learning

Autor: Nikos Manouselis
Editora: New York : Springer, ©2013.
Séries: SpringerBriefs in electrical and computer engineering.
Edição/Formato   e-book : Documento : InglêsVer todas as edições e formatos
Resumo:
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  Ler mais...
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Detalhes

Gênero/Forma: Electronic books
Formato Físico Adicional: Print version:
Recommender systems for learning.
New York : Springer, ©2013
(OCoLC)793571937
Tipo de Material: Documento, Recurso Internet
Tipo de Documento Recursos de internet, Arquivo de computador
Todos os Autores / Contribuintes: Nikos Manouselis
ISBN: 9781461443612 146144361X
Número OCLC: 809543571
Descrição: 1 online resource (76 pages).
Conteúdos: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Título da Série: SpringerBriefs in electrical and computer engineering.
Responsabilidade: Nikos Manouselis [and others].

Resumo:

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations.  Ler mais...

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