Análise de logs da plataforma Moodle utilizando técnicas de mineração de dados: um estudo de caso

Abstract

Moodle is a virtual learning environment that offers many resources (forum, assignment, chat, quiz, etc ...) to create online courses. All executed actions by participants of the course (student, teacher or mediator) in the environment are stored in its database. In order to exploit this data and thus to extract some kind of implicit knowledge, this paper presents the results of an analysis of logs about the Introduction to Programming class, of the virtual Computing Course, at Federal University of Paraíba. For this, the steps of the Knowledge Discovery in Database process were followed, the KDD, where will be first made a selection and data preprocessing, soon after, will be selected required fields for application of Tableau Public tool generating infographics that will be interpreted and analyzed. One of the questions I had was regarding the day of posting and best times to the tutors are present in the environment, thus, it was possible to observe the students more use on the platform and what day and time more acess the environment. It is expected that the results can help in decision making by the teacher and academic administration seeking to improve the teaching learning process.