Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022
Sandio Maciel Dos Santos, Marcelino Silva da Silva, Fábio Manoel França Lobato, Carlos Renato Lisboa Francês

TL;DR
This study analyzes how the COVID-19 pandemic worsened educational inequalities in Pará, Brazil, by affecting student performance and access to remote learning.
Contribution
The study provides region-specific insights into the impact of the pandemic on ENEM performance and highlights the role of socioeconomic and technological disparities.
Findings
Low-income students and public school students were disproportionately affected by the pandemic.
A 20% score increase was observed among students with access to computers and the Internet.
Regional disparities were significant, with Marajó and Southeast Pará facing higher dropout rates.
Abstract
This study examines the impact of the COVID-19 pandemic on academic performance and student participation in the National High School Exam (ENEM) in the state of Pará, Brazil, focusing on the interaction between socioeconomic factors, access to technology, and regional disparities. The research employed a mixed-methods approach, analyzing quantitative data from ENEM results (2020–2022) and qualitative interviews with educators and students. The findings indicate that the pandemic exacerbated pre-existing educational inequalities, particularly affecting low-income students and those enrolled in public schools. The highest dropout rates were recorded among students with a family income of up to one minimum wage, highlighting the barriers posed by limited access to technology and infrastructure for remote learning. A statistical analysis revealed a 20% increase in scores among students…
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Taxonomy
TopicsHealth, Education, and Aging · Education during COVID-19 pandemic · Evasion and Academic Success Factors
