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Recommender systems for learning

Autor: Nikos Manouselis; et al
Editorial: New York : Springer, ©2013.
Serie: SpringerBriefs in electrical and computer engineering.
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
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  Leer más
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Detalles

Género/Forma: Electronic books
Formato físico adicional: Print version:
Recommender systems for learning.
New York : Springer, c2013
(OCoLC)793571937
Tipo de material: Documento, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Nikos Manouselis; et al
ISBN: 9781461443612 146144361X
Número OCLC: 809543571
Descripción: 1 online resource (76 p.)
Contenido: Introduction and Background --
TEL as a Recommendation Context --
Survey and Analysis of TEL Recommender Systems --
Challenges and Outlook.
Título de la serie: SpringerBriefs in electrical and computer engineering.
Responsabilidad: Nikos Manouselis ... [et al.].
Más información:

Resumen:

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that support and enhance learning practices of individuals and organisations. This brief offers an  Leer más

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