Generating adaptive learning paths in e-learning environments

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7 Citas (Scopus)

Resumen

This work proposes an adaptive system using Bayesian networks to generate learning activities for students based on their course performance evaluation. Different learning activities are combined into learning paths in order to reinforce student knowledge on specific course contents. The proposed system was used in a b-learning course offered at the Computer Science School of Instituto Tecnológico de Costa Rica (TEC). For this purpose, a prototype was developed and integrated with TEC e-learning platform - TEC Digital. Test results indicate that Bayesian networks are an adequate adaptive mechanism for generation of learning paths in this context.

Idioma originalInglés
Título de la publicación alojada38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings
DOI
EstadoPublicada - 2012
Evento38th Latin America Conference on Informatics, CLEI 2012 - Medellin, Colombia
Duración: 1 oct 20125 oct 2012

Serie de la publicación

Nombre38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings

Conferencia

Conferencia38th Latin America Conference on Informatics, CLEI 2012
País/TerritorioColombia
CiudadMedellin
Período1/10/125/10/12

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