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

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

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 empl...

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Bibliographic Details
Main Authors: Sandio Maciel Dos Santos, Marcelino Silva da Silva, Fábio Manoel França Lobato, Carlos Renato Lisboa Francês
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Big Data
Subjects:
COVID-19
ENEM
educational inequality
remote learning
regional disparities
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2025.1485493/full
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https://www.frontiersin.org/articles/10.3389/fdata.2025.1485493/full

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