To evaluate students in the area of computing, technological and computational resources are sought in order to analyze behavior, performance and difficulties of the students during their academic life. Thus, this study aims to analyze and explore POSCOMP microdata from 2016 to 2019 editions with data mining techniques, following the steps of KDD process, in order to extract useful information and non-trivial knowledge, with the aim of make the results available to managers, teachers and educational institutions, elucidating the performance and characteristics of students from computing courses in the state of Pará on the exam. The results show that the average scores of the applicants that dwell in the state of Pará remain lower or equal to the nacional ones throughout the period, either with respect to the overall grades and in regards to grades per subject, except for two subjects, it was also verified that the number of absentees in Pará has presented a drop since the 2017 edition, and the number of women enrolled in the exam on the state presented a rise since 2018, being different trends from the national ones.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.