A Stochastic Approach for Automatic and Dynamic Modeling of Students' Learning Styles in Adaptive Educational Systems

Autor:	Fabiano Azevedo DORÇA, Luciano Vieira LIMA, Márcia Aparecida FERNANDES, Carlos Roberto LOPES
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	dynamic student modeling learning styles probabilistic student model adaptive educational systems e-learning Special aspects of education LC8-6691
Zdroj:	Informatics in Education, Vol 11, Iss 2, Pp 191-212 (2012)
Druh dokumentu:	article
ISSN:	1648-5831 2335-8971
DOI:	10.15388/infedu.2012.10
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a4fb34667ff541f4b131bec214fd53f4 Zobrazit plný text záznamu View record in DOAJ