Generating adaptive learning paths in e-learning environments

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings
DOIs
StatePublished - 2012
Event38th Latin America Conference on Informatics, CLEI 2012 - Medellin, Colombia
Duration: 1 Oct 20125 Oct 2012

Publication series

Name38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings

Conference

Conference38th Latin America Conference on Informatics, CLEI 2012
Country/TerritoryColombia
CityMedellin
Period1/10/125/10/12

Keywords

  • adaptativity
  • Bayesian networks
  • e-learning
  • learning paths

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