A Long-Term Study of the Pandemic Impact on Education: A Software Engineering Case

Kattiana Constantino, Pedro Garcia, Eduardo Figueiredo

2025

Abstract

The COVID-19 pandemic has had an unprecedented and widespread impact on education, significantly affecting students worldwide. Although many studies have investigated this impact in the last 5 years, we still lack empirical knowledge about the long-lasting impact of this most recent pandemic on performance in the 2020’s generation of students. This quantitative study aims to evaluate the long-term impact of the pandemic on student performance, especially in the Software Engineering course. To achieve this goal, we collected historical data from Software Engineering students three years – prior to (2019) and post (2022 and 2023) COVID-19 – such as their grades in repeated questions throughout the semesters. We employed statistical methods to analyze this quantitative data. As one of our results, we identified that the pandemic negatively influenced student performance in 2022, especially in the first-semester post-pandemic. However, we also observed that the impact was mitigated in the following semesters of 2022 and 2023. This result is a breath of hope since it suggests that the current generation of students has overcome the challenges imposed by the pandemic period.

Paper Citation

in Harvard Style

Constantino K., Garcia P. and Figueiredo E. (2025). A Long-Term Study of the Pandemic Impact on Education: A Software Engineering Case. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-746-7, SciTePress, pages 971-982. DOI: 10.5220/0013295200003932

in Bibtex Style

@conference{csedu25,
author={Kattiana Constantino and Pedro Garcia and Eduardo Figueiredo},
title={A Long-Term Study of the Pandemic Impact on Education: A Software Engineering Case},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2025},
pages={971-982},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013295200003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - A Long-Term Study of the Pandemic Impact on Education: A Software Engineering Case
SN - 978-989-758-746-7
AU - Constantino K.
AU - Garcia P.
AU - Figueiredo E.
PY - 2025
SP - 971
EP - 982
DO - 10.5220/0013295200003932
PB - SciTePress