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ORIGINAL RESEARCH article

Front. Public Health
Sec. Public Mental Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1454406
This article is part of the Research Topic Youth Mental Health, Particularly in Asian Populations View all 34 articles

The influence of COVID-19 pandemic on college students' academic performance and the construction of a learning ability warning system

Provisionally accepted
Zengqiang Ren Zengqiang Ren 1Qiaoling Du Qiaoling Du 2*
  • 1 Business School, Northeast Normal University, Changchun, Jilin Province, China
  • 2 Electronic Science and Engineering, Jilin University, Changchun, China

The final, formatted version of the article will be published soon.

    Objective: This study explored the impact of prevention and control measures taken by Chinese universities on college students' academic performance during the COVID-19 pandemic.Participants: The sample includes 1009 senior students, 1140 junior and sophomore students, and 1198 freshman students studying at a top university in China from 2012 to 2023.Method: Analysis of variance was used to analyze historical data, and a learning ability warning system based on probabilistic neural networks was further proposed.Results: There was a significant difference in student academic performance form 2019 to 2022 compared to historical data. Prevention and control measures such as school closures and online teaching have affected the academic performance of college students.Conclusion: COVID-19 has a negative impact on college students' learning ability. It is necessary to establish a learning ability warning system to assist university management departments in formulating relevant policies to restore the learning ability of college students.

    Keywords: academic performance, Chinese college student, COVID-19, Learning ability warning system, Analysis of Variance

    Received: 25 Jun 2024; Accepted: 25 Nov 2024.

    Copyright: © 2024 Ren and Du. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Qiaoling Du, Electronic Science and Engineering, Jilin University, Changchun, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.