EDUCATIONAL DATA MINING APPLIED IN THE ANALYSIS OF THE PROFILE OF GRADUATES OF PUBLIC TECHNICAL SCHOOLS IN THE STATE OF SÃO PAULO WHO PASSED ENTRANCE EXAMS

Abstract

The Public Technical Schools of the State of São Paulo (ETECS) have sought improvements aimed at the training of their students, through the analysis of data from their graduates who passed entrance exams. Educational Data Mining (EDM) that uses Artificial Intelligence and Statistics techniques can be used to analyze this data. The objective of this study was to identify and analyze the profile of graduates of public technical schools in the State of São Paulo who passed entrance exams, using Educational Data Mining, to implement changes that support educational management. The ETEC Paulistano located in Jardim Paulistano, object of study of this work, is located in the center of a highly populated region, but lacking in parks, schools, infrastructure and jobs. The school has a student body composed of 95% of students from the Vila Brasilândia region, 70% of whom come from the municipal public school. A questionnaire was applied, divided into two parts, to the graduates of the classes of the Etim Informatics and Etim Environment courses graduated in the years 2019 and 2020. To mine the results, five steps were applied: Selection and Data Collection; Data Pre-Processing; Educational Data Mining; Interpretation and Analysis of Discovered Knowledge and Implementation of Changes. The analysis of the graduate's profile made it possible to implement and predict changes aligned with the interest of those involved with the school. It was concluded that MDE is an important ally of ETEC Paulistano to support educational management in the development of educational strategies.