SISTEMA TUTOR INTELIGENTE HÍBRIDO COM PERSONALIZAÇÃO ESTRUTURADA PELO MÉTODO DAS DIFERENÇAS FINITAS.

Abstract

The generation of a pattern of navigation in Virtual Learning Environments (VLE) closer to the characteristics of the student is a question relevant of research. This paper takes as its starting point a Hybrid Intelligent Tutoring System (HITS) already proposed in the literature that uses the Artificial Neural Networks MLP (Multi Layer Perceptron) and rules of faculty experts, and adds a methodology using Partial Differential Equations (PDE) calculated by the method of finite differences, in order to improve the navigation decision to lead the student in a personalized way, adding to their biggest gains learning process. The original HITS developed for web platform has been adapted using technologies that enable the evolution system and the integration of the system settings for navigation mid-level, system without adaptive capacity, and the smart navigation were conducted to verify the effectiveness of the proposed system. Data obtained were evaluated by statistical tests with 5% level of significance, which proved the efficiency of the proposed model.