ANÁLISE DO ENSINO À DISTÂNCIA DO INSTITUTO FEDERAL GOIANO UTILIZANDO TÉCNICAS DE MINERAÇÃO DE DADOS

Abstract

The use of technology has been growing in the last decades in all scopes. Whether in professional, personal or academic life, the use of electronic devices becomes increasingly necessary in people’s daily lives. Distance learning (DE) is increasingly sought, as through technologies, provides students with the comfort of studying where they want and when they want, not being directly attached to schedules as occurs in fully classroom teaching. As a means student-teacher interaction, elearning uses virtual learning environments (VLE). In these VLEs, many types of data are produced in large volumes that, when analyzed, can return valuable information. Because it is a large volume of data, it is necessary to use tools that enable this analysis, in this case data mining. Thus, the present work aimed to perform the data analysis of the user interaction record table, mdl_logstore_standard_log,of the VLE Moodle, used in the Technical Course in Administration of Campus Iporá of the Goiano Federal Institute. The process of discovery of knowledge in database was used and in the data mining technique, from this process were applied the algorithms of association, grouping and classification. It sought to understand if the students’ performance is related to the variables of time spent in the questionnaire and/or the average grade obtained in each subject. Finally, the algorithms presented poor performance so that they didn’t demonstrate whether the variables imply student performance.