GONÇALVES, E. D. M.; http://lattes.cnpq.br/0728410372168731; GONÇALVES, Eric Diego Matozo.
Resumo:
Given the atypical situation caused by the COVID-19 pandemic, which occurred between the end of 2019 and mid-2022, the Ministry of Education authorized remote learning in courses that were previously face-to-face. This measure aimed to mitigate potential damage caused to the federal education system by the pandemic. In this context, the Academic Unit of Systems and Computing at the Federal University of Campina Grande, along with its faculty, faced the challenge of adapting its curriculum execution to the virtual environment. After the pandemic, the need arises to analyze its consequences due to the necessity of adapting teaching methodologies to remote learning. This work proposes the use of data analysis and visualization techniques, based on data collected from the Online Academic Control System (SCAO), with the aim of contributing to the analysis of the effects and implications exerted by the COVID-19 pandemic on undergraduate students in the Computer Science program at the Federal University of Campina Grande. As found results, it can be mentioned that the academic performance of students, in most subjects, returned to the same levels as the pre-pandemic period, with a trend of increased withdrawals during the post-pandemic period, which has the highest number of recorded withdrawals.