Vale, Karliane Medeiros OvidioOliveira, Artur Carlos Santiago de2023-03-082023-03-082022-12-22OLIVEIRA, Artur Carlos Santiago de. Aplicação de técnicas de aprendizado de máquina para identificação de alunos com tendência à evasão escolar. 2022. 43 f. Trabalho de Conclusão de Curso (Graduação em Sistemas de Informação) - Universidade Federal do Rio Grande do Norte, Caicó, 2022.https://repositorio.ufrn.br/handle/123456789/51845The rates of disapproval and dropout among students in computer courses is a worrying statistic. Problems with students who fail in early subjects are often cited as a contributing factor to dropout. This study proposes the use of machine learning techniques to try to predict the performance of students in the Programming course of the Bachelor of Information Systems course at UFRN through the performance of the disciplines of the first period of the course. The results showed that it is possible to predict the performance of students with an accuracy of up to 79% and that this information is useful for the implementation of disapproval prevention measures.Aprendizado de máquinaMineração de dados educacionaisEvasão no ensino superiorbachelorThesisCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO