Sistema tutor monitorado por rede neural artificial

• Ano de defesa: 2006
• Autor(a) principal: Almeida, Mauricio Corrêa de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Engenharia Elétrica; Engenharias; UFU
• Palavras-chave em Português: Rede neural artificial; Sistemas tutores; Rede neural de retropropagação; Inteligência artificial; Artificial neural network; Tutoring systems; Backpropagation neural network; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: https://repositorio.ufu.br/handle/123456789/14487

Distance learning systems have been receiving support to research because they can provide flexibility for the student. There are many systems already developed but with great opportunity to improved the way of tracking the student. The main purpose of this research is to propose an intelligent tutor based on artificial neural networks to reduce the number of students with low performance in computer language learning. The system monitor the student during his study stage and suggest the best path to be followed seeking for the best performance. The neural network will be trained to monitor a predetermined sequence of study but adaptively can adjust this sequence to the performance of the student. The system was applied to a group of students in a technical college and the learning performance increased in 10 % compared to another group without the assistance of the intelligent tutor.