Data Mining of Study Habits: An Analysis of the Exam Performance in the 2022 ENEM

• Abílio Nogueira Barros Rural Federal University of Pernambuco http://orcid.org/0000-0001-6045-116X
• Danielle Karla Alves da Silva Federal University of Pernambuco
• Paulo J. L. Adeodato Federal University of Pernambuco

DOI: https://doi.org/10.5753/sbie.2024.244620

Abstract

This article addresses the knowledge discovery process through data mining applied to the study habits of participants in the 2022 National High School Examination (ENEM). The primary objective of this research is to employ data mining techniques to identify and highlight which study practices are most effective in achieving a positive performance in the exam. The analysis aims to provide valuable insights that can contribute to optimizing candidates’ preparation methods, offering informed guidance for improved performance in future ENEM exams. Preliminary results indicate that the frequent organization of study material and the consistent practice of summarizing video classes and/or podcasts are important factors for better student performance in ENEM. Therefore, these findings can guide educational practices and improve preparation strategies for the ENEM, improving the understanding of the factors that can influence student performance.

Keywords: Data mining, Study habits, ENEM performance

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