Recommender systems for technology enhanced learning : research trends and applications /

As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted in...

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Detalles Bibliográficos
Otros Autores: Manouselis, Nikos (Editor )
Formato: Libro
Lenguaje:English
Publicado: New York : Springer Science + Business Media, [2014].
Colección:Computer science.
Materias:
Tecnología educativa
Sistemas de recomendación (Filtrado de información)

MARC

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245 0 0 |a Recommender systems for technology enhanced learning :  |b research trends and applications /  |c Nikos Manouselis [y otros tres], editors ; foreword by Joseph A. Konstan. 
264 1 |a New York :  |b Springer Science + Business Media,  |c [2014]. 
264 4 |c ©2014. 
300 |a xiv, 306 páginas :  |b ilustraciones, gráficas, tablas ;  |c 25 cm. 
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490 0 |a Computer science. 
504 |a Incluye referencias bibliográficas. 
520 |a As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices. Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. 
650 7 |a Tecnología educativa  |9 4070 
650 4 |a Sistemas de recomendación (Filtrado de información)  |9 449734 
700 1 |a Manouselis, Nikos  |9 449735  |e editor. 
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