Análise comparativa de novas abordagens para modelagem automática e dinâmica de estilos de aprendizagem em sistemas adaptativos e inteligentes para educação
Year: 2016
Type: conference-paper
Abstract: 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.
Authors: Luiz Henrique Silva Rodrigues, Luciana Assis, Alessandro Vivas, Cristiano Pitangui, Samuel Falci
Language: Portuguese
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W2550866233
