Proposta de uma Abordagem Computacional para Detecção Automática de Estilos de Aprendizagem Utilizando Modelos Ocultos de Markov e FSLSM

A probabilistic approach is proposed, which combines the model proposed by Felder and Silverman (FSLSM) to learning styles, with Probabilistic inference techniques of Hidden Markov Models (HMM) in order to perform the inference process of the preferences of the student for a particular learning style.