Aplicação de algoritmo de classificação e categorização não supervisionado de alunos em ambientes virtuais de aprendizagem com base em seu padrão de uso

Abstract

As a result of the growth of Distance Learning (DL) in the country there is an increasing number of students using Virtual Learning Environments (VLE). With the use and inte- ractions between students and teachers in the system, large volumes of important data are generated that become unusable. With the analysis of the data generated by the students' use and using methods of learning psychology to evaluate the logs generated in the AVA and categorization of the patterns of student use, it is possible to identify the cases that need attention from the teachers through grouping and classi cation of data.