Evidence map›Paper›PMID 39712305›Full record

ArticleFrontiers in public health2024

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

Zengqiang Ren, Qiaoling Du

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Zengqiang RenBusiness School, Northeast Normal University, Changchun, China.
Qiaoling DuCollege of Electronic Science and Engineering, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 1,009 senior students, 1,140 junior and sophomore students, and 1,198 freshman students studying at a top university in China from 2012 to 2023. Methods: 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 from 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.

Indexed as

Academic PerformanceCOVID-19StudentsAdolescentChinaEducation, DistanceFemaleHumansLearningMalePandemicsSARS-CoV-2UniversitiesYoung Adultacademic performanceanalysis of varianceChinese college studentCOVID-19learning ability warning system

Identifiers

PMID39712305
PMCPMC11659125

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.