The DOI matches its Crossref record; 112 of the 122 references it cites were found in a registry or an index, and 1 are not checked yet; none of the 38 sources its claims cite is checked for support yet.
The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis
Open accessAbstract
This work attempts to synthetize existing research about the impact of Covid-19 school closure on student achievement. It extends previous systematic reviews and meta-analyses by (a) using a more balanced sample in terms of country composition, (b) considering new moderators (type of data and research design), and (c) including studies on tertiary education students in addition to primary and secondary education students. Our meta-analysis findings show that the pandemic had, on average, a detrimental effect on learning. The magnitude of this learning deficit (about 0.19 standard deviations of student achievement) appears to be roughly comparable to that suffered by students who have experienced a significant disruption in their schooling due to a major natural disaster (e.g., Hurricane Katrina). Students are also found to have lost more ground in math/science than in other subjects. Additionally, one year or more after the first lockdown, students seem to have been unable to catch up on unfinished learning from the pandemic. This result suggests that more efforts should be made to ensure students recover their missed learning in order to avoid negative long-term consequences for them and society.
Checked 2026-10-07 · 1 reference not checked yet
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This meta-analysis of 239 estimates from 39 studies across 19 countries finds that Covid-19 school closures reduced student achievement by about 0.19 standard deviations on average. Learning deficits were larger in math/science and showed no statistically significant recovery by 2021.
Key findings
- The random-effects robust variance estimation mean effect size was −0.186 SD (SE = 0.0646, p = 0.0065, 95% CI [−0.316, −0.055]), described as roughly comparable to losses after major natural disasters and equivalent to just over half a school year.
- Math/science achievement was 0.17 SD lower than humanities/subject mix, other things equal.
- There was no statistically significant difference between assessments in 2020 and 2021, suggesting students had not caught up more than one year after the first lockdown.
- Learning deficits were smaller in Europe than non-Europe, and studies using quasi-experimental/experimental designs or cross-sectional data tended to find larger deficits than descriptive/correlational or longitudinal studies.
Methods
- PRISMA-guided meta-analysis; searched six electronic databases through 15 July 2022, yielding 6,075 hits and a final sample of 39 studies, 239 effect sizes, and 19 countries.
- Effect sizes were converted to Cohen’s d; the main model used random-effects meta-analysis with robust variance estimation to account for multiple dependent estimates per study, plus weighted least squares meta-regression with general-to-specific selection and Bayesian Model Averaging.
- Moderators included subject, education level, timing of assessment, geographical area, data type, research design, publication year/type, and standard error; publication bias was assessed with a Doi plot/LFK index and Egger’s test.
Limitations
- Stated in the paper: the analysis was not conducted at grade level, so it cannot rule out disproportionate effects on very young pupils (e.g., grade 1) or heterogeneity within primary school children.
- Stated in the paper: ROBINS-I assessment found confounding, participant selection, and missing data were common sources of potential bias; vulnerable students were under-represented in some Covid-19 samples, likely underestimating learning delays, while the direction of bias was unclear in convenience samples.
- Evident from the text: the evidence base is limited to 39 studies and 19 countries, the search ended in July 2022, and tertiary education is represented by only 10 effect sizes; publication bias tests found no asymmetry (LFK index = 0; Egger’s test p = 0.380).
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
27 Not checked yet · 18 Own result · 10 Own method · 6 Own interpretation · 4 No basis given
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our meta-analysis findings show that the pandemic had, on average, a detrimental effect on learning.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The magnitude of this learning deficit (about 0.19 standard deviations of student achievement)”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Abstract
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“First, compared to previous meta-analyses, this study covers a larger number of countries (i.e., 19).”
- Also stated in: § Sample characteristics · plain
“The studies cover a total of 19 countries.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Sample characteristics · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The RVE RE mean effect size turns out to be −0.18613 (SE = 0.0646, p-value = 0.0065, 95% CI [-0.316, −0.055]).”
- Also stated in: § Discussion of the main results · plain
“we find that, on average, the pandemic depressed student achievement by around 0.19 standard deviations.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Summary effect size
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Discussion of the main results · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Students are also found to have lost more ground in math/science than in other subjects.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Abstract
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, one year or more after the first lockdown, students seem to have been unable to catch up on unfinished learning from the pandemic.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Abstract
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Second, the current meta-analysis adds to previous meta-analyses by including also studies looking at the impact of Covid-19 among tertiary education students in addition to primary and secondary education students.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The sample includes 239 estimates from 39 studies covering 19 countries.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Conclusions
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“studies employing cross-sectional data as well as those focusing on non-European countries tend to suggest greater learning deficits.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Heterogeneity
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the negative effect of Covid-19 on student achievement appears to be more pronounced when using experimental/quasi experimental techniques than when using descriptive or correlational research designs.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Heterogeneity
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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- Probably not a substantial claim. 24
- It may state two separate claims as one. 16
- The quote only partly states this claim. 2
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The largest source countries are the US (71 estimates), Germany (39 estimates) and Belgium (33 estimates).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Sample characteristics
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Each study included in the dataset contains a number of estimates that vary from 1 to 32.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Sample characteristics
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A total of 239 separate estimates from 39 studies are considered.”
- Also stated in: § Sample characteristics · plain
“The dataset used for the meta-analysis includes a total of 239 different impact estimates extracted from 39 separate studies.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Also stated in: § Sample characteristics · plain
In the paper
“For instance, while in Betthäuser et al. (2023) about 71.1% of the effect sizes are derived from these studies, in our paper the corresponding figure is approximately 33.9%.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
What the sources say
- Not checked yetcites Betthäuser et al. (2023) source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Several reasons explain why most studies (i.e., 79%) reported multiple estimates.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Sample characteristics
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The appropriateness of the RE model is confirmed as I2 has a value of 100%.14 This suggests that all the variability in the effect-size estimates is due to heterogeneity as opposed to sampling error.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Summary effect size
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Its large value of 1.74 further corroborates the hypothesis of substantial heterogeneity of the effect sizes (Takase & Yoshida, 2021).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Summary effect size
What the sources say
- Not checked yetcites Takase & Yoshida, 2021
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“students experienced larger learning deficits in math/science. More precisely, other things being equal, student achievement in math/science is on average found to be 0.17 standard deviations smaller than in humanities/subject mix.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Heterogeneity
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“our results indicate that in 2021 students were not able to recover from the learning deficits caused by Covid-19 school closures in 2020. There is no statistically significant difference in student performance between assessments that have taken place several months or more than one year after the outbreak of the coronavirus and those that have occurred in the early stages of the pandemic.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Discussion of the main results
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“studies employing cross-sectional data as well as those focusing on non-European countries tend to suggest greater learning deficits.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Heterogeneity
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
In the paper
“To perform this meta-analysis, we followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) (Moher et al., 2009).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method
What the sources say
- Not checked yetcites Moher et al., 2009 source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“The relevance of these factors in explaining the heterogeneity of results across studies is well-known in the meta-analysis literature.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
What the sources say
- Not checked yetcites Havránek et al., 2020
- Not checked yetcites Stanley and Jarrell, 1989
- Not checked yetcites Judd, 2015
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“While the inter-rater agreement was very high (i.e., 97%), studies on which there was disagreement were discussed in depth until consensus was reached.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Search ad screening procedures
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“While all the titles and abstracts were screened only by the author, the next stages of the study selection process were carried out by the author and by another researcher who independently classified the studies as relevant and irrelevant based on the predefined inclusion criteria.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Search ad screening procedures
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“As discussed later in the paper, several methods are used to account for within-study dependence.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Study coding
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Study coding was performed following the same procedure used for the final stages of the study selection process.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Study coding
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In most countries, educational institutions had to close for several weeks or months in an attempt to reduce the spread of the virus (UNESCO, 2020a).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
What the sources say
- Not checked yetcites UNESCO, 2020a
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Several studies from various countries (e.g., Bratti et al., 2004; Dabalen et al., 2001; Koda & Yuki, 2013) show that the final grade awarded to students successfully completing university is an important predictor of their labour market prospects.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
What the sources say
- Not checked yetcites Bratti et al., 2004
- Not checked yetcites Dabalen et al., 2001
- Not checked yetcites Koda & Yuki, 2013
plaincorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The inter-rater agreement was again high (i.e., 93%).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Study coding
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Additionally, non-journal articles are more likely to contain typos in their regression tables (Cazachevici et al., 2020).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Study coding
What the sources say
- Not checked yetcites Cazachevici et al., 2020
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Articles published in journals are expected to be of higher scientific rigour since they are more likely to have gone through a review process.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Study coding
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
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Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“As argued in several papers (e.g., Hanushek & Woessmann, 2020; Psacharopoulos et al., 2021), there is the risk that the disruption in learning caused by Covid-19 may persist over time, having long-term consequences on students’ knowledge and skills as well as on their labour market prospects.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Introduction
What the sources say
- Not checked yetcites Hanushek & Woessmann, 2020
- Not checked yetcites Psacharopoulos et al., 2021 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“During school closures, these students are less likely to have had access to a computer, an internet connection, and a space conducive to learning (Blaskó et al., 2022; Di Pietro et al., 2020).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Summary effect size
What the sources say
- Not checked yetcites Blaskó et al., 2022
- Not checked yetcites Di Pietro et al., 2020
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The results, which are reported in Table 5, show that all the variables that are consistently identified by the BMA methodology as relevant (i.e., Math/Science, Europe and Journal article) are also included in the specification whose estimates are reported in Columns (2), (3) and (4) of Table 4.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Heterogeneity
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
In the paper
“As suggested by Donnelly and Patrinos (2020), high-income countries are likely to have experienced smaller learning deficits as a result of Covid-19 because of their higher technological capability and the lower share of households living below the poverty line.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Discussion of the main results
What the sources say
- Not checked yetcites Donnelly and Patrinos (2020)
hedgedconditional- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“given that our analysis was not conducted at grade level, one cannot rule out the possibility that the pandemic has disproportionately affected the achievement of very young pupils (e.g., grade 1).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Discussion of the main results
hedged- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“one would expect children of less educated parents to have received less parental support while learning at home than children of more educated parents.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Summary effect size
What the sources say
- Not checked yetcites Ariyo et al. (2022)
hedgedconditional- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Promoting the development of metacognition skills is, for instance, a powerful way to enhance student learning and performance (Stanton et al., 2021).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Conclusions
What the sources say
- Not checked yetcites Stanton et al., 2021
boosteddirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The underestimation of pandemic-related learning delays may have important policy implications as it could result in under-provision of remedial support to students who are falling behind due to Covid-19.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Discussion of the main results
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
In the paper
“the risk of bias in nonrandomized studies was assessed in 3811 studies using the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) tool (Sterne et al., 2016).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Risk of bias assessment
What the sources say
- Not checked yetcites Sterne et al., 2016
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“As shown in Fig. 2, the Doi plot shows no asymmetry (LFK index = 0), indicating that no publication bias is detected.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Publication bias
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“less attention has been paid to a number of time- and cost-effective pedagogical practices (Carrasco et al., 2021)”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Conclusions
What the sources say
- Not checked yetcites Carrasco et al., 2021
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“there is evidence, but only available at higher education level, that European educational institutions were better prepared to respond to the challenges posed by the pandemic than their counterparts in other parts of the world. A survey carried out by the International Association of Universities immediately after the outbreak of the coronavirus shows that the percentage of higher education”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Discussion of the main results
What the sources say
- Not checked yetcites Marinoni et al., 2020
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“As a robustness test, the model depicted in Column (3) of Table 4 is re-estimated but this time each effect size is weighted by its inverse variance. As shown in Column (4) of Table 4, with the exception of the estimate on longitudinal data, the sign and the magnitude of the other coefficients are broadly in line with those depicted in Column (3).”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Heterogeneity
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“As pointed out by Engzell et al. (2021), non-causal methods fail to account for trends in student progress prior to the outbreak of Covid-19 and, hence, by assuming a counterfactual where achievement has stayed flat, they generate estimates of learning deficits that are biased downwards.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Discussion of the main results
What the sources say
- Not checked yetcites Engzell et al. (2021) source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Each study was independently evaluated by the author and another researcher, and any disagreements were resolved through discussion to reach a consensus.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Risk of bias assessment
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This would suggest that our finding is more generalizable than that of previous studies.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Results and discussion > Discussion of the main results
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
- Rests on an assumption: The sample used in this meta-analysis is more balanced in terms of country composition than previous meta-analyses.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In several studies, vulnerable students, who have been among the most hardly hit by the pandemic, tend to be under-represented in the Covid-19 sample. This may lead to an underestimation of the pandemic-related learning delays.”
§ The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis☆ > Method > Risk of bias assessment
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper relies on this without support.
The European countries included in the study have, on average, a higher GDP per capita than most non-European countries included (except US and Australia).
“the European countries considered in this study have, on average, a higher gross domestic product per capita than most of the non-European countries included in the analysis (this is not true for the US and Australia).”
The paper relies on this without support.
The sample used in this meta-analysis is more balanced in terms of country composition than previous meta-analyses.
“it should be taken into account that we use a more balanced sample in terms of country composition.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Interestingly, our results are similar to what systematic reviews are finding learning16–20,44,45.”
From COVID-19, school closures, and student learning outcomes. New global evidence from PISA (2025) · cites this paper as [44]
Citations
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InfluentialA Literature Review on Impact of COVID-19 Pandemic on Teaching and Learning
Pokhrel, S., & Chhetri, R. (2021) · Higher Education for the Future · doi:10.1177/2347631120983481 · Cited by 2,400 · cited 1×
“In addition to problems in accessing appropriate technology (computers, reliable internet connection, etc.), not all students had a home environment free of disturbances and distractions, hence conducive to learning (Pokhrel & Chhetri, 2021).”
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Learning loss due to school closures during the COVID-19 pandemic
Engzell, P., Frey, A., & Verhagen, M. D. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2022376118 · Cited by 1,848 · cited 3×
“Finally, studies using a quasi-experimental or experimental design (e.g., Engzell et al., 2021) move closer to a causal interpretation of the relationship between Covid-19 and student performance. g) the publication year .”
InfluentialLearning loss due to school closures during the COVID-19 pandemic
Engzell, P., Frey, A., & Verhagen, M. D. (2020) · doi:10.31235/osf.io/ve4z7 · Cited by 1,739
Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood
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Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias
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“Publication bias has long been identified as a major problem in meta-analysis (Dwan et al., 2008).”
A new improved graphical and quantitative method for detecting bias in meta-analysis
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“LFK index values within ±1 suggest no asymmetry, LFK index values exceeding ±1 but within ±2 indicate minor asymmetry, while LFK index values exceeding ±2 denote major asymmetry (Furuya-Kanamori et al., 2018).”
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“Moreover, there is evidence showing that Covid-19 and the related containment measures have had a detrimental effect on children ’ s wellbeing (Xie et al., 2020).”
Empirical Benchmarks for Interpreting Effect Sizes in Research
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“This finding is broadly consistent with that obtained by Hill et al. (2008) who conclude that a value of Cohen ’ s d of 0.4 (with a margin of error of ± 0.06) corresponds to the average annual reading achievement gains in fourth grade.”
InfluentialThe Handbook of Research Synthesis
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InfluentialMETA‐REGRESSION ANALYSIS: A QUANTITATIVE METHOD OF LITERATURE SURVEYS
Stanley, T. D., & Jarrell, S. B. (2005) · Journal of Economic Surveys · doi:10.1111/j.0950-0804.2005.00249.x · Cited by 805
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A Guide to Conducting a Meta-Analysis with Non-Independent Effect Sizes
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Factors contributing to teacher burnout during COVID-19
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Effects of COVID-19-Related School Closures on Student Achievement-A Systematic Review
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A systematic review and meta-analysis of the evidence on learning during the COVID-19 pandemic
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“Consistent with the findings of Betth ¨ auser et al. (2023), our results suggest that pandemic-related learning delays are similar across primary and secondary school students.”
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“…as they use qualitative approaches (e.g., interviews), report teachers ’ /parents ’ views about the educational impact of Covid-19 (e.g., Kim et al., 2022; Lupas et al., 2021), or provide a theoretical discussion about how the pandemic is likely to affect education (e.g., Di Pietro et al., 2020).”
The effect of school closures on standardised student test outcomes
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Inequalities in Children's Experiences of Home Learning during the COVID‐19 Lockdown in England*
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The economic impacts of learning losses
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Financial education in schools: A meta-analysis of experimental studies
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Fostering Metacognition to Support Student Learning and Performance
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Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic
Clark, A. E., Nong, H., Zhu, H., & Zhu, R. (2021) · China Economic Review · doi:10.1016/j.chieco.2021.101629 · Cited by 271
Remittances and economic growth: A meta-analysis
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When the Great Equalizer Shuts Down: Schools, Peers, and Parents in Pandemic TimesPreprint
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“In the same vein, we removed studies using student self-reported outcome measures as well as those examining the educational impact of Covid-19 on specific subgroups of students (e.g., Agostinelli et al., 2022).”
A Guide to Conducting a Meta-Analysis
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The impact of COVID-19 on student learning in New South Wales primary schools: an empirical study
Gore, J., Fray, L., Miller, A., Harris, J., & Taggart, W. (2021) · The Australian Educational Researcher · doi:10.1007/s13384-021-00436-w · Cited by 201 · cited 1×
“Similarly, a large number of studies (e.g., Ardington et al., 2021; Contini et al., 2021; Domingue et al., 2021; Gore et al., 2021) examined the impact of the pandemic on the achievement of students of different levels of education or even of students of different grades within the same level of education.”
Sacerdote, B. (2012) · American Economic Journal: Applied Economics · doi:10.1257/app.4.1.109 · Cited by 181 · cited 1×
“For instance, Sacerdote (2012) found that in the spring of 2006 students who were displaced by Katrina and Rita hurricanes saw their test scores fall by between 0.07 and 0.2 standard deviations.”
InfluentialCOVID-19 learning losses: Early grade reading in South Africa
Ardington, C., Wills, G., & Kotze, J. (2021) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2021.102480 · Cited by 164 · cited 4×
“Similarly, in the longitudinal data used by Ardington et al., 2021 attrition is significantly higher for the Covid-19 group and attrition is associated with poorer pre-pandemic reading proficiency levels. In Kuhfeld et al. (2022), between fall 2019 and fall 2021, the number of students testing in a grade dropped signi…”
InfluentialA score based approach to wild bootstrap inference
Kline, P., & Santos, A. (2012) · Journal of Econometric Methods · doi:10.1515/2156-6674.1006 · Cited by 161
Hevia, F. J., Vergara-Lope, S., Velásquez-Durán, A., & Calderón, D. (2022) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2021.102515 · Cited by 158
Skar, G. B. U., Graham, S., & Huebner, A. R. (2021) · Journal of Educational Psychology · doi:10.1037/edu0000701 · Cited by 149
Learning during the COVID-19 pandemic: It is not who you teach, but how you teach
Orlov, G., McKee, D., Berry, J. N., Boyle, A., DiCiccio, T. J., Ransom, T., Rees-Jones, A., & Stoye, J. (2021) · Economics Letters · doi:10.1016/j.econlet.2021.109812 · Cited by 148
The Impact of COVID‐19‐Related School Closures on Student Achievement—A Meta‐Analysis
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“K ¨ onig and Frey (2022) as well as Betth ¨ auser et al. (2023) G. Di Pietro conclude that the presence of publication bias is”
InfluentialSpitzer, M. W. H., & Musslick, S. (2021) · PLOS ONE · doi:10.1371/journal.pone.0255629 · Cited by 138
Angrist, N., de Barros, A., Bhula, R., Chakera, S., Cummiskey, C., DeStefano, J., Floretta, J., Kaffenberger, M., Piper, B., & Stern, J. M. B. (2021) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2021.102397 · Cited by 133
Zooming to Class? Experimental Evidence on College Students’ Online Learning during COVID-19
Kofoed, M. S., Gebhart, L., Gilmore, D., & Moschitto, R. (2024) · American Economic Review: Insights · doi:10.1257/aeri.20230077 · Cited by 125
Tang, K. H. D. (2022) · Educational Research for Policy and Practice · doi:10.1007/s10671-022-09319-y · Cited by 123 · cited 1×
“…towards online learning could have had a detrimental impact on the knowledge and skills of those students, mainly at secondary and tertiary levels, whose curriculum includes experiential learning experiences (e.g., field trips, hands-on activities) that cannot take place virtually (Tang, 2022).”
Zierer, K. (2021) · Education Sciences · doi:10.3390/educsci11060252 · Cited by 118 · cited 2×
“The reviews by Patrinos et al. (2022), Moscoviz and Evans (2022), Donnelly and Patrinos (2022), Hammerstein et al. (2021) and Zierer (2021) summarised the results of 35 studies, 29 studies, 8 studies, 11 studies and 9 studies, respectively.”
InfluentialCOVID-19 Pandemic and Student Reading Achievement: Findings From a School Panel Study
Ludewig, U., Kleinkorres, R., Schaufelberger, R., Schlitter, T., Lorenz, R., König, C., Frey, A., & McElvany, N. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.876485 · Cited by 112 · cited 1×
“7 On the other hand, studies employing a correlational research design (e.g., Ludewig et al., 2022) attempt to isolate the effect of Covid-19 from that associated with other factors that could influence student achievement, but their results cannot be given a causal interpretation.”
Reading and Understanding Research
Yuen, A. (2004) · The HKU Scholars Hub (University of Hong Kong) · Cited by 111
Online Learning and Students’ Mathematics Motivation, Self-Efficacy, and Anxiety in the “New Normal”
Mamolo, L. A. (2022) · Education Research International · doi:10.1155/2022/9439634 · Cited by 110 · cited 1×
“Mamolo (2022) found that the students ’ math motivation and self-efficacy decreased during the pandemic.”
An Analysis of COVID-19 Student Learning Loss
Patrinos, H. A., Vegas, E., & Carter-Rau, R. (2022) · World Bank policy research working paper · doi:10.1596/1813-9450-10033 · Cited by 105 · cited 2×
“The reviews by Patrinos et al. (2022), Moscoviz and Evans (2022), Donnelly and Patrinos (2022), Hammerstein et al. (2021) and Zierer (2021) summarised the results of 35 studies, 29 studies, 8 studies, 11 studies and 9 studies, respectively.”
Labor market prospects for university graduates in Nigeria
Dabalen, A., Dabalen, A., Oni, B., et al. (2001) · Higher Education Policy · doi:10.1016/s0952-8733(01)00010-1 · Cited by 100 · cited 1×
“Several studies from various countries (e.g., Bratti et al., 2004; Dabalen et al., 2001; Koda & Yuki, 2013) show that the final grade awarded to students successfully completing university is an important predictor of their labour market prospects.”
The COVID-19 Cost of School Closures in Earnings and Income across the World
Psacharopoulos, G., Collis, V., Patrinos, H. A., & Vegas, E. (2021) · Comparative Education Review · doi:10.1086/713540 · Cited by 98
Meeter, M. (2021) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2021.100163 · Cited by 90 · cited 2×
“For instance, Meeter (2021) analysed how Covid-19 affected the math performance of primary school children of grades 2 – 6.”
Blaskó, Z., Costa, P. D., & Schnepf, S. V. (2022) · Journal of European Social Policy · doi:10.1177/09589287221091687 · Cited by 87 · cited 1×
“During school closures, these students are less likely to have had access to a computer, an internet connection, and a space conducive to learning (Blask ´ o et al., 2022; Di Pietro et al., 2020).”
Schuurman, T. M., Henrichs, L. F., Schuurman, N. K., Polderdijk, S., & Hornstra, L. (2021) · Scandinavian Journal of Educational Research · doi:10.1080/00313831.2021.2006307 · Cited by 81
Higher Education Outcomes, Graduate Employment and University Performance Indicators
Bratti, M., McKnight, A. E., Naylor, R. A., et al. (2004) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2004.0apm1.x · Cited by 80 · cited 1×
“Several studies from various countries (e.g., Bratti et al., 2004; Dabalen et al., 2001; Koda & Yuki, 2013) show that the final grade awarded to students successfully completing university is an important predictor of their labour market prospects.”
DOES EDUCATION REALLY IMPROVE HEALTH? A META‐ANALYSIS
Xue, X., Cheng, M., & Zhang, W. (2020) · Journal of Economic Surveys · doi:10.1111/joes.12399 · Cited by 77 · cited 1×
“Selecting incorrect variables leads to misspecification bias and invalid inference (Xue et al., 2021).”
Fhloinn, E. N., & Fitzmaurice, O. (2021) · Mathematics · doi:10.3390/math9182303 · Cited by 75 · cited 1×
“Using data from a survey addressed to math lecturers between May and June 2020, Ní Fhloinn and Fitzmaurice (2021) found that most of the respondents agreed that it is harder to teach math remotely.”
The Covid-19 Pandemic and School Closure: Learning Loss in Mathematics in Primary EducationPreprint
Contini, D., Tommaso, M. L. D., Muratori, C., Piazzalunga, D., & Schiavon, L. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4114323 · Cited by 73 · cited 2×
“Similarly, a large number of studies (e.g., Ardington et al., 2021; Contini et al., 2021; Gore et al., 2021; Domingue et al., 2021) examined the impact of the pandemic on the achievement of students of different levels of education or even of students of different grades within the same level of education.”
The Impact of COVID-19 Pandemic on Education: Social Exclusion and Dropping out of School
Tsolou, O., Babalis, T. K., & Tsoli, K. (2021) · Creative Education · doi:10.4236/ce.2021.123036 · Cited by 72
No evidence of a major learning slide 14 months into the COVID-19 pandemic in Denmark
Birkelund, J. F., & Karlson, K. B. (2022) · European Societies · doi:10.1080/14616696.2022.2129085 · Cited by 70
Parental Involvement in Children's Mathematics Learning Before and During the Period of the COVID-19
Panaoura, A. (2020) · Social Education Research · doi:10.37256/ser.212021547 · Cited by 66 · cited 1×
“Panaoura (2020) looked at parents ’ perception of how they have helped their children in math learning during the pandemic in Cyprus.”
Wang, H., Chen, Y., Yang, X., Yu, X., Zheng, K., Lin, Q., Cheng, X., & He, T. (2022) · European Journal of Psychology of Education · doi:10.1007/s10212-022-00605-0 · Cited by 66 · cited 3×
“Using data on Chinese primary school students during Covid-19, Wang et al. (2022) concluded that parental involvement had a positive impact on children ’ s achievement in Chinese and English, but not in math.”
Does Daylight Saving Save Electricity? A Meta-Analysis
Havránek, T., Herman, D., & Iršová, Z. (2017) · The Energy Journal · doi:10.5547/01956574.39.2.thav · Cited by 57 · cited 1×
“Each coefficient is also given a Posterior Inclusion Probability (PIP), which is the sum of posterior model probabilities of the models including the relevant variable and indicates how likely such a variable is to be contained in the true model (Havr ´ anek et al., 2018).”
INTEREST RATE PASS‐THROUGH: A META‐ANALYSIS OF THE LITERATURE
Gregor, J., Melecký, A., & Melecký, M. (2020) · Journal of Economic Surveys · doi:10.1111/joes.12393 · Cited by 57 · cited 2×
“As noted by Hammerstein et al. (2021), information on this domain is very rarely included in the relevant studies because Covid-19 school closures were not intended interventions.”
Family time use and home learning during the COVID-19 lockdown
Andrew, A., Cattan, S., Dias, M. C., Farquharson, C., Kraftman, L., Krutikova, S., Phimister, A., & Sevilla, A. (2020) · doi:10.1920/re.ifs.2020.0178 · Cited by 57 · cited 1×
“For instance, Andrew et al. (2020) found that in the UK during the first Covid-19 lockdown while the proportion of primary school students reporting not to have a designated space to study at home was about 20%, the corresponding figure for secondary school students was approximately 10%.”
The Impacts Of Natural Disaster On Student Achievement: Evidence From Severe Floods in Thailand
Thamtanajit, K. (2019) · The Journal of Developing Areas · doi:10.1353/jda.2020.0042 · Cited by 51
Feng, X., Neacşu, I., & Li, Y. (2021) · The Journal of Educational Research · doi:10.1080/00220671.2021.1930986 · Cited by 49 · cited 1×
“Many studies (e.g., Bielinski et al., 2021; Borgonovi & Ferrara, 2022; Feng et al., 2021; Gambi & De Witte, 2021; Maldonado & De Witte, 2022) estimated the effect of Covid-19 on student performance in several subjects.”
Velazco, D. J. M., Martínez, M. F. C., Rivas, G., & Carmona, C. S. V. (2021) · The Education and science journal · doi:10.17853/1994-5639-2021-2-94-113 · Cited by 49
Takase, M., & Yoshida, I. (2021) · Journal of Professional Nursing · doi:10.1016/j.profnurs.2021.06.005 · Cited by 47 · cited 1×
“Its large value of 1.74 further corroborates the hypothesis of substantial heterogeneity of the effect sizes (Takase & Yoshida, 2021).”
InfluentialVaillancourt, T., McDougall, P., Comeau, J., & Finn, C. (2021) · FACETS · doi:10.1139/facets-2021-0080 · Cited by 46 · cited 1×
“Longer periods of social isolation might have adversely affected students ’ mental health (e.g., anxiety and depression) and physical activity (Vaillancourt et al., 2021).”
Kompetenzstände Hamburger Schüler*innen vor und während der Corona-Pandemie
Depping, D., Lücken, M., Musekamp, F., & Thonke, F. (2021) · Schule während der Corona-Pandemie. Neue Ergebnisse und Überblick über ein dynamisches Forschungsfeld · doi:10.31244/9783830993315.03 · Cited by 46
The Wages of Mothers' Labor: A Meta‐Regression Analysis
Leonard, M. D. L., & Stanley, T. D. (2020) · Journal of Marriage and the Family · doi:10.1111/jomf.12693 · Cited by 41 · cited 1×
“Finally, consistent with the approach taken in several studies (e.g., de Linde Leonard & Stanley, 2020), i) the effect size ’ s standard error is also included among our moderator variables.”
Consequences of Physical Health and Mental Illness Risks for Academic Achievement in Grades K–12
Joe, S., Joe, E. M., & Rowley, L. L. (2009) · Review of Research in Education · doi:10.3102/0091732x08327355 · Cited by 40 · cited 1×
“This is also likely to have contributed to negatively impact their academic performance given the close association between mental and physical health and educational outcomes (Joe et al., 2009).”
Becerra, I. G., Flujas-Contreras, J. M., Andrés, M. P., Sánchez-López, P., & Fernández-Torres, M. (2020) · Revista de Psicología Clínica con Niños y Adolescentes · doi:10.21134/rpcna.2020.mon.2029 · Cited by 38 · cited 1×
“Finally, some studies (Domínguez-Álvarez et al., 2020; Gómez-Becerra et al., 2020) showed that during Covid-19 younger children present more emotional problems than older children.”
Studying abroad and earnings: A meta‐analysis
Pietro, G. D., European Commission, & IZA (2021) · Journal of Economic Surveys · doi:10.1111/joes.12472 · Cited by 33 · cited 4×
“In line with the approach followed by several recent meta-analyses (see, for instance, Di Pietro, 2022), we consider the year of the first appearance of a draft of the study in Google Scholar.”
InfluentialSelf-citationEvaluating Longitudinal Mathematics Achievement Growth
Shanley, L. (2016) · Educational Researcher · doi:10.3102/0013189x16662461 · Cited by 31 · cited 1×
“Furthermore, parents may be familiar with math methods different from the ones used by teachers (Shanley, 2016).”
Kim, L. E., Dundas, S., & Asbury, K. (2021) · Teachers and Teaching · doi:10.1080/13540602.2021.1982690 · Cited by 27 · cited 1×
“G. Di Pietro clusters (i.e., 39), following Cameron and Miller (2015) we apply the correction for small of clusters by employing wild score bootstrapping (Kline & Santos, 2012).”
Publication lag and early view effects in information science journals
Al, U., & Soydal, İ. (2017) · Aslib Journal of Information Management · doi:10.1108/ajim-12-2016-0200 · Cited by 26 · cited 1×
“This measure is preferred to publication year on the ground that journals significantly differ with respect to the time between online availability date of an article and the date when the article is given a volume and issue number 8 (Al & Soydal, 2017).”
COVID-19 Restrictions and Its Influence on Students’ Mathematics Achievement in Spain
Miravet, L. M., & Alegre, F. (2022) · Education Sciences · doi:10.3390/educsci12020105 · Cited by 26 · cited 2×
“Studies using a descriptive research design (e.g., Moliner & Alegre, 2022) provide information about the average gap in test scores between the Covid-19 and non-Covid-19 cohorts without accounting for differences between these two cohorts (for example in terms of individual characteristics such as…”
THE EURO'S TRADE EFFECT: A META‐ANALYSIS
Polák, P. (2018) · Journal of Economic Surveys · doi:10.1111/joes.12264 · Cited by 24 · cited 1×
“In line with the current best practice in meta-analysis (Pol ´ ak, 2019), we use all relevant estimates included in the selected studies.”
Koda, Y., & Yuki, T. (2012) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2012.07.001 · Cited by 24 · cited 2×
“Several studies from various countries (e.g., Bratti et al., 2004; Dabalen et al., 2001; Koda & Yuki, 2013) show that the final grade awarded to students successfully completing university is an important predictor of their labour market prospects.”
Learning loss and learning recovery
Patrinos, H. A. (2022) · DECISION · doi:10.1007/s40622-022-00317-w · Cited by 23 · cited 4×
“The reviews by Patrinos et al. (2022), Moscoviz and Evans (2022), Donnelly and Patrinos (2022), Hammerstein et al. (2021) and Zierer (2021) summarised the results of 35 studies, 29 studies, 8 studies, 11 studies and 9 studies, respectively.”
InfluentialLupas, K. K., Mavrakis, A. A., Altszuler, A. R., Tower, D., Gnagy, E. M., Macphee, F. L., Ramos, M., Merrill, B. M., Ward, L., Gordon, C. T., et al. (2021) · School Psychology · doi:10.1037/spq0000474 · Cited by 22 · cited 1×
“…as they use qualitative approaches (e.g., interviews), report teachers ’ /parents ’ views about the educational impact of Covid-19 (e.g., Kim et al., 2022; Lupas et al., 2021), or provide a theoretical discussion about how the pandemic is likely to affect education (e.g., Di Pietro et al., 2020).”
Schütt, M. (2021) · Environmental and Resource Economics · doi:10.1007/s10640-021-00536-2 · Cited by 21 · cited 1×
“It controls for time-trend effects (Schütt, 2021).”
Socio-demographic determinants of children home learning experiences during COVID 19 school closure
Ariyo, E., Amurtiya, M., Olaleye, Y. L., Ariyo, O., Ogunsanmi, O. O., Ajike, P. T., Lasode, A. O., & Ogunniyi, D. (2021) · International Journal of Educational Research Open · doi:10.1016/j.ijedro.2021.100111 · Cited by 18 · cited 1×
“Moreover, as argued by Ariyo et al. (2022), one would expect children of less educated parents to have received less parental support while learning at home than children of more educated parents.”
Mullen, C. S., Pettigrew, J., Cronin, A. G., Rylands, L., & Shearman, D. (2021) · Teaching Mathematics and its Applications An International Journal of the IMA · doi:10.1093/teamat/hrab014 · Cited by 18 · cited 1×
“Not only do students need to learn and accustom themselves to use technology in order to write mathematical symbols, but this is not always possible in online platforms such as chats (Mullen et al., 2021).”
Moderator Variable: Methodology
Judd, C. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.44038-9 · Cited by 17 · cited 1×
“More in general, moderators are situational variables as well as characteristics of studies that might influence the effect estimate (Judd, 2015).”
Domínguez-Álvarez, B., López‐Romero, L., Fraguela, J. A. G., & Romero, E. (2020) · Revista de Psicología Clínica con Niños y Adolescentes · doi:10.21134/rpcna.2020.mon.2042 · Cited by 16
Paola, M. D., Gioia, F., & Scoppa, V. (2022) · Social Science Research Network · doi:10.2139/ssrn.4114561 · Cited by 15
The COVID-19 Pandemic’s Impact on 9th Grade Students’ Mathematics Achievement
Miravet, L. M., Alegre, F., & Valentín, G. L. (2022) · European Journal of Educational Research · doi:10.12973/eu-jer.11.2.835 · Cited by 14
Haelermans, C., Jacobs, M., van Vugt, L., Aarts, B., Abbink, H., Smeets, C., van der Velden, R., & van Wetten, S. (2021) · doi:10.31219/osf.io/78fje · Cited by 12
Žnidaršič, A., Brezavšček, A., Rus, G., & Jerebic, J. (2022) · Mathematics · doi:10.3390/math10132314 · Cited by 9
Math Anxiety in Primary Education during Covid-19 Confinement: Influence on Age and Gender
Arnal-Palacián, M., Arnal-Bailera, A., & Blanco, C. (2022) · Acta Scientiae · doi:10.17648/acta.scientiae.6745 · Cited by 7 · cited 1×
“Similarly, Mendoza et al. (2021) and Arnal-Palaci ´ an et al. (2022) provided evidence about higher levels of math anxiety experienced by university and primary school students, respectively, during Covid-19.”
Romanelli, R. J., Schwartz, N. R. M., Dixon, W. G., Rodriguez‐Watson, C., Sauer, B. C., Albright, D., & Marcum, Z. A. (2021) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.5331 · Cited by 6
Projections of adult skills and the effect of COVID-19
Özdemir, C., Reiter, C., Yıldız, D., & Goujon, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0277113 · Cited by 5
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- Burgess, 2020, How we should deal with the lockdown learning loss in England's schools, VOX CEPR Policy Portal
- Marinoni, 2020, The impact of Covid-19 on higher education around the world, IAU Global Survey Report
Cited by
Sorted by citations
Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood
Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014) · American Economic Review · doi:10.1257/aer.104.9.2633 · Cited by 1,717
Mazrekaj, D., & Witte, K. D. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231181108 · Cited by 128
“Di Pietro (2023) conducted a meta-analysis of 38 observational studies (26 cross-sectional and 12 longitudinal) and one experimental study between 2020 and 2022 in 12 European countries, Australia, Brazil, China, Egypt, Mexico, South Africa, and the United States (six of which were rated to have a…”
BackgroundCOVID-19, school closures, and student learning outcomes. New global evidence from PISA
Jakubowski, M., Gajderowicz, T., & Patrinos, H. A. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00297-3 · Cited by 65
School closure policies and student reading achievement: evidence across countries
Kennedy, A. I., & Strietholt, R. (2023) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-023-09415-4 · Cited by 45
“1 Substantial variation in learning deficits can be observed across individual studies and countries, as demonstrated by two recent meta-analyses (Betthäuser et al., 2023; Di Pietro, 2023).”
InfluentialLiu, X., Hansen, K. Y., Valcke, M., & Neve, J. D. (2024) · ZDM: Mathematics Education · doi:10.1007/s11858-024-01630-7 · Cited by 38
“This fits with the recent literature showing that social policies and economic conditions have been favourable to increased access and resources for education in these countries (Di Pietro, 2023; Tadesse & Muluye, 2020).”
Metadata
- Authors
- Di Pietro, G.
- ORCID
- Di Pietro, Giorgio
- Venue
- Educational Research Review
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 39
- Pages
- 100530
- ISSN
- 1747-938X (ISSN-L)
- PMC
- PMC10028259
- OpenAlex
- W4328053575
- Semantic Scholar
- 19437454e7960020d7e2f1fb49ca5ca3c49e72d9
- Cited by
- 173
- References
- 122
- Citations by year
- 2026: 49 · 2025: 59 · 2024: 42 · 2023: 22
- FWCI
- 127.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Educational Research Review (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- European Commission Joint Research Centre
- Topics
- Social Sciences › Education › Education during COVID-19 pandemic
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Social Sciences › Education › School Choice and Performance
- Keywords
- COVID-19 pandemic, school closures, academic performance, learning loss, learning recovery, tertiary students, K-12 education, math and science achievement, Hurricane Katrina, lockdown duration
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