Abstract
This paper aims to make a comparative study of new approaches to automatic and dynamic modeling of learning styles in adaptive and intelligent educational systems. We proposes modifications to the Student and Pedagogical Models. We achieved on average an improvement 6.1% in the performance evaluation of the student and an average reduction of 68.3% in the learning problems, demonstrating the effectiveness of this approach.
Cite
CITATION STYLE
Gonçalves, A. V., Vivas, A., Assis, L., Pitangui, C., & Dorça, F. (2016). Avanços na modelagem automática e dinâmica de estilos de aprendizagem de estudantes em sistemas adaptativos e inteligentes para educação: uma análise experimental. In Anais do XXVII Simpósio Brasileiro de Informática na Educação (SBIE 2016) (Vol. 1, p. 1006). Sociedade Brasileira de Computação - SBC. https://doi.org/10.5753/cbie.sbie.2016.1006
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