Impactos da pandemia da COVID-19 no desempenho dos estudantes da rede estadual de educação: sugestões para a recomposição da aprendizagem

Abstract

This dissertation focuses on investigating and analyzing the impact of the COVID-19 pandemic on the academic performance of students in the public schools of Minas Gerais. The main objective of the research is to identify and analyze the pandemic's impact on key educational indicators, and to propose activities and intervention strategies for learning recovery programs. This dissertation explores the management of COVID-19 in schools at different levels, from the global experience to the specific situation within the state public schools system. The methodological approach used considers the interrelationships between socioeconomic and school-related factors. The theoretical framework is based on the model proposed by Soares (2007), which highlights the complexity of intra- and extra-school factors that influence learning. The adopted methodology involves the analysis of secondary data from the National Institute of Educational Studies and Research (INEP) and information provided by the State Department of Education of Minas Gerais, as well as an analysis through multiple linear regression. The main findings of the research indicate a significant decline in students' scores on external assessments, with notable disparities across different schools and subjects, particularly in Portuguese Language and Mathematics. Factors such as family income, teacher training and role, and school organization were identified as determinants of student performance. In response to these challenges, the study proposes an Educational Action Plan (PAE) aimed at mitigating the identified issues and structured into three groups of actions: the diagnosis of educational needs, a review of the Learning Recovery Program (PRA), and teacher training, with the goal of improving pedagogical practices and teacher education. This work aims to contribute to the understanding of post-pandemic educational challenges, offering solutions based on the research findings.