Covid-19 pandemic and student academic performance: a systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Background The COVID-19 pandemic led to widespread disruptions in educational systems globally, forcing a transition to remote learning modalities. This systemic change raised concerns about its potential impact on the academic performance of students in developmental ages. This systematic review and meta-analysis aimed to evaluate the association between the COVID-19 pandemic and academic performance among developmental-age students, quantifying the effect size using Cohen’s d. Methods We searched PubMed/MEDLINE, Scopus, and Embase for studies published up to December 2023 that assessed the impact of the COVID-19 pandemic on academic performance. The review was performed following the PRISMA 2020 guidelines. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale. The pooled effect size was calculated using Cohen’s d, with its 95% confidence interval. The protocol has been registered in PROSPERO. Results Out of 3671 retrieved articles, 30 studies met the inclusion criteria, and 13 were suitable for meta-analysis, involving a combined total of 4,893,499 students. The Cohen’s d was -0.07 (95% CI = -0.10 to -0.03; p < 0.001), indicating a small but statistically significant decline in academic performance associated with the pandemic. Subgroup analyses revealed that mathematics suffered the most significant impact, with a Cohen’s d of -0.14 (95% CI = -0.18 to -0.10; p < 0.001). All the included studies were judged as moderate-high quality. Conclusions The COVID-19 pandemic has had a negative effect on the academic performance of students of developmental ages, particularly in mathematics. These findings highlight the need for targeted interventions to mitigate the educational setbacks caused by the pandemic, especially in core subjects where the decline in performance was most pronounced. Key messages • The COVID-19 pandemic has significantly disrupted educational systems worldwide, resulting in a small but statistically significant decline in academic performance among students of developmental ages. • The shift in educational delivery during the pandemic particularly affected learning outcomes in mathematics more than in other subjects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.054 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.037 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".