Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements fo...

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Detalles Bibliográficos
Autores principales: Erdt, Mojisola, Fernández, Alejandro, Rensing, Christoph
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Informática
Evaluation
K Computing Milieux
K.3 Computers and Education
K.3.1 Computer Uses in Education
K.3.1.d Distance learning
Recommender Systems
Survey
Technology Enhanced Learning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/86675
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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