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

Resumo

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.