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.
CITATION STYLE
Rodrigues, L. H. S., Assis, L., Vivas, A., Pitangui, C., & Falci, S. (2016). Análise comparativa de novas abordagens para modelagem automática e dinâmica de estilos de aprendizagem em sistemas adaptativos e inteligentes para educação. In Anais do XXVII Simpósio Brasileiro de Informática na Educação (SBIE 2016) (Vol. 1, p. 1076). Sociedade Brasileira de Computação - SBC. https://doi.org/10.5753/cbie.sbie.2016.1076
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