EduVizBR: A decision support system for Brazilian high school students' performance analysis

• Chrystinne Fernandes Federal University of Pernambuco (UFPE)
• Dienert Vieira Federal University of Pernambuco (UFPE)
• Tassiane Barros Federal University of Pernambuco (UFPE)
• Aian Shay Federal University of Pernambuco (UFPE)
• Nicksson Freitas Samsung Development Institute for Informatics (SiDi)
• Tiago Vinuto Samsung Development Institute for Informatics (SiDi)

DOI: https://doi.org/10.5753/sbbd.2022.224320

Abstract

Due to the explosive growth of educational data, more assistant tools are demanded by Educational managers to mine and filter strategic knowledge into massive databases. In this paper, we present the EduVizBR, a decision support tool designed to assist managers in analyzing the students' performance in the Brazilian national exam (ENEM). The EduVizBr allows managers to explore a massive volume of integrated educational data by narrowing their analyses according to the most relevant impact factors presented in the literature, year of interest, and school subjects. In our case study, we analyzed how gender impacts students' grades in all Brazilian states and the influence of parents' educational attainment and parents' professions on their children's grades.

Keywords: data cleaning, information filtering, data mining, analytics, education, data visualization, data processing

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