A Stochastic Approach for Automatic and Dynamic Modeling of Students’ Learning Styles in Adaptive Educational Systems
A Stochastic Approach for Automatic and Dynamic Modeling of Students’ Learning Styles in Adaptive Educational Systems
Author(s): Márcia Aparecida Fernandes, Carlos Roberto Lopes, Fabiano Azevedo Dorca, Luciano Vieira LimaSubject(s): Education
Published by: Vilniaus Universiteto Leidykla
Keywords: dynamic student modeling; learning styles; probabilistic student model; adaptive educational systems; e-learning
Summary/Abstract: Considering learning and how to improve students’ performances, an adaptive educational system must know how an individual learns best. In this context, this work presents an innovative approach for student modeling through probabilistic learning styles combination. Experiments have shown that our approach is able to automatically detect and precisely adjust students’ learning styles, based on the non-deterministic and non-stationary aspects of learning styles. Because of the probabilistic and dynamic aspects enclosed in automatic detection of learning styles, our approach gradually and constantly adjusts the student model, taking into account students’ performances, obtaining a fine-tuned student model. Promising results were obtained from experiments, and some of them are discussed in this paper.
Journal: Informatics in Education - An International Journal
- Issue Year: 11/2012
- Issue No: 2
- Page Range: 191-212
- Page Count: 22
- Language: English