Análise comparativa de novas abordagens para modelagem automática e dinâmica de estilos de aprendizagem em sistemas adaptativos e inteligentes para educação

Luiz Henrique Silva Rodrigues, Luciana Assis, Alessandro Vivas, Cristiano Pitangui, Samuel Falci


The evolution of distance education was by the popularization of information and communication technologies, the most important aspect in a Adaptive and Intelligent System for Education, is its ability to adapt to the characteristics of each student. This paper presents a proposal for automatic detection and correction of learning styles (EA) using an algorithm based on fuzzy logic. This approach offers excellent results for minimizing learning problems.

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