Análise do impacto da pandemia no desempenho e nível de aprendizado dos alunos do Curso de Ciência da Computação da UFCG.

Abstract

During the period of the pandemic promoted by COVID-19, the Universidade Federal de Campina Grande (UFCG) held four academic periods remotely to continue teaching activities. This work analyzes the impact of this teaching modality and its influence on the performance and learning level of Computer Science students. The research used anonymized enrollment registration data from 2013 to 2022, focusing on the course's mandatory subjects. Initially, the study analyzed the evolution of students' average grades throughout academic periods, highlighting an increase in averages during remote periods. Furthermore, the analysis shows a decrease in the number of failures during the pandemic compared to in-person periods. The study also investigates the relationships between subjects and students' enjoyment of remote learning. Using statistical methods, the subjects most affected by remote teaching were identified, both positively and negatively. Subjects such as Teoria da Computação and Estatística Aplicada showed a drop in performance, while Teoria dos Grafos showed an improvement. In conclusion, the study points to a negative impact on student performance after the period of remote teaching, suggesting that factors such as possible irregularities in remote assessments may have contributed to this result.