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

• Chrystinne Fernandes Universidade Federal de Pernambuco (UFPE)
• Dienert Vieira Universidade Federal de Pernambuco (UFPE)
• Tassiane Barros Universidade Federal de Pernambuco (UFPE)
• Aian Shay Universidade Federal de Pernambuco (UFPE)
• Nicksson Freitas Samsung Instituto de Desenvolvimento para Informática (SiDi)
• Tiago Vinuto Samsung Instituto de Desenvolvimento para Informática (SiDi)

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

Resumo

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.

Palavras-chave: data cleaning, information filtering, data mining, analytics, education, data visualization, data processing

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