Cited by 45Education during COVID-19 pandemicSchool Choice and PerformanceCOVID-19 Pandemic Impacts

School closure policies and student reading achievement: evidence across countries

Open access
Kennedy, Alec I., Strietholt, Rolf·2023·Educational Assessment, Evaluation and Accountability

Abstract

The COVID-19 pandemic disrupted education worldwide as educational systems made the decision to close schools to contain the spread of the virus. The duration of school closures varied greatly internationally. In this study, we use international variation in school closure policies to examine the effects of school closures on student achievement. Specifically, we use representative trend data from more than 300,000 students in 29 countries to examine whether the length of school closures is related to changes in student achievement before and after the outbreak of COVID-19. We observe a significant and substantial negative effect of school closures on student reading achievement. This school closure effect remains even after controlling for measures of pandemic severity such as infection rates, vaccination policies, and a measure of lockdown stringency. The estimated effect implies that a year of school closures corresponds roughly to the loss of a little more than half a school year of learning. This effect is even more pronounced for socioeconomically disadvantaged students and those without home computer access.

AI snapshot

Written from the paper’s full text.

TL;DR

Using PIRLS 2016 and 2021 data from 29 countries, the study finds longer national COVID-19 school closures were associated with larger declines in fourth-grade reading achievement. The estimated effect is about -0.14 PIRLS points per closure day, with larger losses for socioeconomically disadvantaged students and those without home computers.

Key findings

  • In the preferred 2016–2021 model, each additional day of school closure is associated with a -0.14 PIRLS scale-point decline in reading achievement (SE 0.015); estimates are -0.174 in the global-trend model and -0.118 in the country-trends model. With an average of 110 closure days, this implies about a 15-point decline, or 0.15 SD, and a full year of closures corresponds to roughly 57% of a school year’s learning.
  • The negative effect is larger for disadvantaged students: the interaction with the Home Resources for Learning scale is 0.021, implying an effect of -0.186 for students 1 SD below average SES versus -0.104 for students 1 SD above. Students without a computer at home had an effect -0.085 more negative than those with a computer; no significant differences were found by language spoken at home or gender.
  • Robustness checks remain negative: controlling for pandemic measures gives -0.153, instrumental-variable pandemic measures -0.149, and participation/exclusion rates -0.103; excluding federal countries gives -0.144. Alternative closure weights give -0.125 (full closures only), -0.140 (full + 0.5 partial), and -0.102 (full + partial).

Methods

  • Design combines PIRLS reading achievement data with UNESCO Institute for Statistics daily school closure data from February 2020 to March 2022. The main sample covers 29 countries in PIRLS 2016 and 2021 with 327,639 students; trend models using earlier cycles cover 24 countries and 527,995 students.
  • Reading achievement is measured with PIRLS plausible values; school closure duration weights fully closed days as 1 and partially closed days as 0.5. Controls include age, gender, books/home resources, home language, computer access, country fixed effects, and time trends.
  • Analysis uses pooled regressions with country-fixed effects and three time specifications: 2016–2021 change, global linear trend, and country-specific trends. Sampling/senate weights and jackknife repeated replication are used; heterogeneity is tested with triple interactions.

Limitations

  • Stated: PIRLS 2021 pandemic administration may affect data quality; the UIS “partially closed” category is not detailed enough to know whether the PIRLS target population was affected; national-level closure measures miss within-country variation; parallel COVID policies or an overall COVID effect may confound estimates; trend models assume linearity; and the study focuses on reading at the end of primary school.
  • Stated/evident: the design is observational, so the authors describe effects as associations and acknowledge that country-level confounding cannot be fully ruled out despite robustness checks. Egypt is an outlier with unreliable estimates—15–25% of students had achievement too low for estimation—and removing it strengthens the correlation from r = -0.44 to r = -0.56.
  • Evident: computer access is operationalized as a simple dichotomous measure, and the authors note that declining PIRLS participation would likely lead to underestimating the school closure effect.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1007/s11092-023-09415-4

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 26 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    In all three models, longer school closures are significantly associated with larger declines in average student reading performance.

    “In all models, the estimates tell a similar story: longer school closures are significantly associated with larger declines in average student reading performance.”
    Quote in the paperSubstantial claim
  • Findingown data

    The negative effect of school closures on student reading achievement remains after controlling for pandemic severity measures such as infection rates, vaccination policies, and lockdown stringency.

    “This school closure effect remains even after controlling for measures of pandemic severity such as infection rates, vaccination policies, and a measure of lockdown stringency.”
    Quote in the paperSubstantial claim
  • Findingown data

    Country-specific slope estimates also show a negative relationship between school closure duration and reading achievement.

    “A similar exercise can be done where country-specific slopes are estimated which we present in the Appendix in Figs. 2 and 3. Results produce similar findings: a negative relationship between school closure duration and reading achievement.”
    Quote in the paperNot a substantial claim
  • Findingown data

    The negative effect of school closures on reading achievement is more pronounced for socioeconomically disadvantaged students.

    “This effect is even more pronounced for socioeconomically disadvantaged students and those without home computer access.”
    Quote in the paperSubstantial claim
  • Findingown data

    School closures have a significant and substantial negative effect on student reading achievement.

    “We observe a significant and substantial negative effect of school closures on student reading achievement.”
    Quote in the paperSubstantial claim
  • May combine two claims. 22
  • Classified as probably not a substantial claim. 22
  • The quote only partly states this claim. 1
  • May combine two claims.

    Findingown data

    The estimated effect of one day of school closures on average student reading achievement is negative and statistically significant across different samples of countries (Wave 1 only: -0.136; Wave 1+3: -0.140; No federal: -0.144).

    “| Estimate | -0.136*** | -0.140*** | -0.144*** |”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The interaction between school closure duration and the home resources for learning scale is significant and positive (0.021), indicating that the effect of school closures is less negative for students with higher home resources and more negative for students with lower home resources.

    “The coefficient is significant and positive (0.021) suggesting that the effect is less negative for students with higher values on the home resources for learning scale and that it is more negative for students with lower values.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    After controlling for participation and exclusion rates, the estimate changes slightly but the story remains the same (-0.10 versus -0.14).

    “After controlling for this information, our estimate changes slightly, but the story remains the same (-0.10versus -0.14).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Findingown data

    The consistency of results across different model specifications makes the authors confident that results are not fully a product of model assumptions.

    “The consistency of our results across different model specifications makes us feel confident that our results are not fully a product of our model assumptions.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The models used to analyze global and country-specific trends assume linearity.
  • May combine two claims.

    Findingown data

    Systematically excluding each country in turn, the results consistently demonstrated a high degree of similarity, indicating that the main finding is not reliant on any specific country.

    “The results consistently demonstrated a high degree of similarity, indicating that our main finding is not reliant on any specific country (see Fig. 4).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    There are no significant differences in the estimated school closure effects for language or gender.

    “In examining how the effect differs for language or gender, we do not find significant differences in the estimated school closure effects for each group.”
    • Also stated in: § 6.1 School closures are linked to declines in achievement and increased inequality · plain
      “In contrast to socioeconomic background and home computer access, we do not observe any varying effects in relation to gender or the languages spoken by students at home.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The estimated effect of one day of school closures on average student reading achievement is negative and statistically significant across different control specifications (e.g., -0.153 with pandemic measures, -0.149 with IV, -0.103 with participation).

    “| Estimate | -0.153*** | -0.149*** | -0.103*** |”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Weighted participation rates declined about five percentage points between PIRLS 2016 and PIRLS 2021, ranging from a 12 percentage point drop in Oman to a three percentage point increase in Portugal.

    “On average, weighted participation rates declined about five percentage points between the PIRLS 2016 and PIRLS 2021, ranging from a 12 percentage point drop in Oman to a three percentage point increase in Portugal.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The estimated effect of one day of school closures on average student reading achievement is negative and statistically significant across different measures of school closures (Full: -0.125; Full+0.5 partial: -0.140; Full+partial: -0.102).

    “| Estimate | -0.125*** | -0.140*** | -0.102*** |”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Jack et al. (2022) suggest that the impact of school closures varies by social background, with greater learning deficits observed in schools where a large proportion of students are Black or Hispanic.

    “Moreover, the study suggests that the impact of school closures varies by social background, with greater learning deficits observed in schools where a large proportion of students are Black or Hispanic.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jack et al., 2022

      Not checked in the free run.

  • May combine two claims.

    Study design and conductreasoning

    In some countries, fifth graders were tested at the beginning or middle of the school year instead of fourth graders at the end of the school year, making the data from these countries not directly comparable over time.

    “However, in some countries, fifth graders were tested at the beginning or middle of the school year instead of fourth graders at the end of the school year, making the data from these countries not directly comparable over time.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Both PIRLS and UIS follow strict protocols for data collection and analysis to ensure accuracy and reliability.

    “To ensure the accuracy and reliability of the data, both PIRLS and UIS follow strict protocols for data collection and analysis.”
    Quote in the paperNot a substantial claim
  • May combine two claims. The quote only partly states this claim.

    Study design and conductown data

    The UIS database does not provide data on school closure policies for Hong Kong, Macao, and Taiwan, so they were unable to be included in the analysis.

    “However, the UIS database does not provide data on school closure policies for these countries.As a result, we were unable to include them in our analysis.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Premisenone given

    The variability in estimated impacts has been understudied.

    “At this point, the variability in estimated impacts has been understudied.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Premisereasoning

    Physical school closures likely impacted student learning in a variety of ways.

    “Physical school closures likely impacted student learning in a variety of ways.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    The authors are not aware of any other research that examines variation in COVID-19 effects on learning by differences in school closure policies.

    “Beyond these studies, we are not aware of any other research that examines variation in COVID-19 effects on learning by differences in school closure policies.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductcitation

    All analyses presented below are based on estimation accounting for the variation across the five plausible values.

    “All analyses presented below are based on estimation accounting for the variation across the five plausible values (Rubin, 2004).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Rubin, 2004

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Both meta-analyses revealed a significant decline in academic achievement following the outbreak of the pandemic, with similar mean effect sizes of Cohen's d = -0.14 and -0.17.

    “Drawing on over 45 individual studies from 18 countries, both meta-analyses revealed a significant decline in academic achievement following the outbreak of the pandemic, with similar mean effect sizes of Cohen's d = -0.14 and -0.17.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Betthäuser et al., 2023 source

      Not checked in the free run.

    • cites Di Pietro, 2023

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    UIS collects data from national education ministries and other official sources to ensure that the data is accurate and up-to-date.

    “Similarly, UIS collects data from national education ministries and other official sources to ensure that the data is accurate and up-to-date.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    An emerging body of literature has documented significant declines in student academic performance following the onset of the COVID-19 pandemic, with varying levels of reported learning deficits across countries.

    “An emerging body of literature has documented significant declines in student academic performance following the onset of the COVID-19 pandemic, with varying levels of reported learning deficits experienced across countries (e.g., Betthäuser et al., 2023;Di Pietro, 2023).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Betthäuser et al., 2023 source

      Not checked in the free run.

    • cites Di Pietro, 2023

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisereasoning

    Few studies have explored how the impacts of the pandemic on learning are associated with variation in school closure policies, mainly because they have all been conducted at the national level where there is often little variation in school closure policies.

    “To date, few studies have explored how the impacts of the pandemic on learning are associated with variation in school closure policies mainly because they have all been conducted at the national level where there is often little variation in school closure policies.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The achievement scores were transformed to a scale with an international mean of 500 and a standard deviation of 100 during the first cycle, and all subsequent cycles have been linked to this initial scale to allow tracking of trends over time.

    “The achievement scores were transformed to a scale with an international mean of 500 and a standard deviation of 100 during the first cycle (PIRLS 2001).All subsequent cycles have been linked to this initial scale to allow the tracking of trends over time.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    PIRLS collects internationally comparable data on fourth-grade reading achievement, along with context data about classroom, home, and school learning environments.

    “PIRLS collects internationally comparable data on fourth-grade reading achievement, along with important context data about classroom, home, and school learning environments.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Mullis et al., 2023

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Research on learning deficits has examined whether the effects differ between socioeconomically disadvantaged and privileged children, but there is inconsistency in the findings.

    “Research on learning deficits has examined whether the effects differ between socioeconomically disadvantaged and privileged children, but there is inconsistency in the findings.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    PIRLS uses standardized tests and carefully selected samples of students to ensure that the data collected is representative of the population being studied.

    “PIRLS uses standardized tests and carefully selected samples of students to ensure that the data collected is representative of the population being studied.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    A complex random sample design is employed to ensure that the sample of tested students is representative of the population of fourth-grade students in each participating country.

    “To ensure that the sample of tested students is representative of the population of fourth-grade students in each participating country, a complex random sample design is employed.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Computer access was operationalized with a simple dichotomous measure.

    “In the same vein, computer access was operationalized with a simple dichotomous measure.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    With an international standard deviation of 100, this is an average effect of 0.15 SD, which aligns remarkably well with results from several meta-analyses.

    “With an international standard deviation of 100, this would be an average effect of 0.15 SD which aligns remarkably well with results from several meta-analyses (e.g., Storey & Zhang, 2021;König & Frey, 2022;Betthäuser et al., 2023;Di Pietro, 2023).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Storey & Zhang, 2021

      Not checked in the free run.

    • cites König & Frey, 2022 source

      Not checked in the free run.

    • cites Betthäuser et al., 2023 source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductnone given

    In pooled analyses, senate weights are used so that each country contributes equally to the final estimates, regardless of sample and target population size.

    “In pooled analyses, senate weights are used so that each country contributes equally to the final estimates, regardless of the sample and target population size.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationnone given

    The study's results are within a range consistent with other studies.

    “We are especially encouraged that the results are within a range consistent with other studies.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductreasoning

    The final model controls for country-specific trends and focuses on how the PIRLS 2021 results deviate from those trends.

    “Therefore, in our final model, we control for country-specific trends and focus on how the PIRLS 2021 results deviate from those trends.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    Disadvantaged children may be disproportionately affected by the learning deficits resulting from school closures.

    “our findings underscore the importance of providing particular attention and support to disadvantaged children who may be disproportionately affected by the learning deficits resulting from school closures.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Learning deficits may extend beyond individual educational outcomes and have economic ramifications for both the affected individuals and national economic growth.

    “As Hanushek and Woessmann (2020) highlight, these learning deficits may extend beyond individual educational outcomes and have economic ramifications for both the affected individuals and national economic growth.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hanushek and Woessmann (2020)

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductcitation

    Standard errors are calculated using a jackknife repeated replication technique that accounts for sampling variance arising from the stratified class-based sampling design.

    “The standard errors are calculated using a jackknife repeated replication technique that accounts for sampling variance arising from the stratified class-based sampling design (Martin et al., 2017).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Martin et al., 2017

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductnone given

    All analyses apply sampling weights.

    “All analyses presented apply sampling weights.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    Parallel policies would only bias the findings if they are correlated with student achievement.

    “It is worth noting that these parallel policies would only bias our findings if they are correlated with student achievement.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductreasoning

    The categorization of 'partially closed' schools from the UIS database is not detailed enough for this analysis and does not indicate whether the PIRLS target population were affected by school closures.

    “Second, the categorization of”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The implementation of PIRLS during the pandemic posed significant challenges that potentially impacted the quality and reliability of the collected data.

    “First, the implementation of PIRLS during the pandemic posed significant challenges, potentially impacting the quality and reliability of the collected data.”
    Quote in the paperNot a substantial claim
38 of 38
  • The authors state this as an assumption.

    An approximate improvement of 44 PIRLS scale points occurs over a typical school year, including both schooling and maturation effects.

    “Assuming an approximate improvement of 44 points on the PIRLS scale over a typical school year (which includes both a schooling and maturation effect), we can utilize this information to gauge the learning loss resulting from school closures.”
  • The authors state this as an assumption.

    The models used to analyze global and country-specific trends assume linearity.

    “it is important to note that the models used to analyze global and countryspecific trends assume linearity.”
  • The paper relies on this without support.

    There was limited evidence available on the benefits and costs of school closure decisions at the time.

    “there was limited evidence available on the benefits and costs of such decisions.”
3 of 3

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?

  • For PIRLS, losses are about a year's worth of learning.

    “For PIRLS, losses are about a year’s worth of learning.”

    From COVID-19, school closures, and student learning outcomes. New global evidence from PISA (2025) · cites this paper as [25]

    Section 6.1 estimates that a full year of school closures would entail a PIRLS reading loss of 57% of a school year's learning, not about a full year's worth. The paper notes that typical annual progress may differ across countries. (LLM, conf=0.90)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • Global studies document significant learning losses; international reading scores declined by an average of 33 percent of a standard deviation, equivalent to more than a year of schooling.

    “Also, global studies—that is, studies using data from international assessments where students in many countries take the same tests and under the same conditions, thus, making them comparable across country and time—document significant learning losses24,25. International reading scores declined by an average of 33 percent of a standard deviation, equivalent to more than a year of schooling.”

    From COVID-19, school closures, and student learning outcomes. New global evidence from PISA (2025) · cites this paper as [25]

    The Introduction and §6.1 support the claim that international assessment data show significant reading declines associated with school closures. But §6.1 estimates an average effect of 0.15 standard deviations for the sampled countries, not 0.33, and estimates that even a full year of closures would correspond to about 57% of a school year’s learning—not more than a year. The cited passages provide no page numbers. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • Until now, there has only been one international student assessment, covering only fourth grade students in just 55 countries.

    “However, until now, there has only been one international student assessment. It covered only fourth grade students in just 55 countries.”

    From COVID-19, school closures, and student learning outcomes. New global evidence from PISA (2025) · cites this paper as [25]

    Section 3.2 (Sample; page unavailable) identifies PIRLS as an international assessment focused on fourth-grade students, supporting that part of the claim. But the paper analyzes 29 countries, not a stated total of 55, and Section 6 (Conclusion; page unavailable) calls PIRLS 2021 “one of the first” international assessments after the pandemic, not the only one. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Losses are greater for disadvantaged students, those struggling before the pandemic, and by duration.

    “Losses are greater for disadvantaged students, those struggling before the pandemic, and by duration.”

    From COVID-19, school closures, and student learning outcomes. New global evidence from PISA (2025) · cites this paper as [25]

    Section 6.1 reports larger reading-achievement losses for socioeconomically disadvantaged students, and section 5.1 links longer school closures to larger declines. Section 6.1 suggests that students who usually trail their peers may have fallen further behind, but it does not establish greater losses for students identified as struggling before the pandemic independently of socioeconomic disadvantage or computer access. The paper's duration finding concerns school closures, not time elapsed during the pandemic generally. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Cites

Flagged first, then by citations

6 of the 42 references couldn’t be matched to a known paper.

Research works printed but not linked: 9

  1. Di Pietro, G., Biagi, F., Costa, P., Karpiński, Z., & Mazza, J. (2020). The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets (Vol. 30275). Publications Office of the European Union Luxembourg
  2. Gambi, L., & De Witte, K. (2023). The uphill battle: The amplifying effects of negative trends in test scores, COVID19 school closures and teacher shortages. Department of Economics: KU Leuven.
  3. Mullis, I. V., von Davier, M., Foy, P., & Fishbein, B. (2023). PIRLS 2021 International Results in Reading (Tech. Rep.). Boston College, TIMSS & PIRLS International Study Center. Retrieved from https://pirls2021.org/results · DOI
  4. Rožman, M., Meinck, S., & Chen, M. (2022). Impact of the pandemic on classroom teaching and learning. In S. Meinck, J. Fraillon, & R. Strietholt (Eds.), The impact of the COVID-19 pandemic on education: International evidence from the Responses to Educational Disruption Survey (REDS) (pp. 54–83). Amsterdam, Netherlands: UNESCO and IEA.
  5. Rožman, M., Meinck, S., & Chen, M. (2022). Well-being of students and teachers. The impact of the COVID-19 pandemic on education: International evidence from the Responses to Educational Disruption Survey (REDS) (pp. 54–83). Amsterdam, Netherlands: UNESCO and IEA
  6. Rubin, D. B. (2004). Multiple imputation for nonresponse in surveys (Vol. 81). Wiley
  7. Storey, N., & Zhang, Q. (2021). A meta-analysis of COVID learning loss. Preprint at EdArXiv, 1–15
  8. Strietholt, R., Fraillon, J., Liaw, Y.-L., Meinck, S., & Wild, J. (2021). Changes in digital learning during a pandemic-Findings from the ICILS teacher panel. International Association for the Evaluation of Educational Achievement: International Association for the Evaluation of Educational Achievement.
  9. Strietholt, R., & Süttmann, F. (2022). Inequalities in teaching and learning during the pandemic. In S. Meinck, J. Fraillon, & R. Strietholt (Eds.), The impact of the COVID-19 pandemic on education: International evidence from the Responses to Educational Disruption Survey (REDS) (pp. 54–83). Amsterdam, Netherlands: UNESCO and IEA.

Cited by

Sorted by citations

Authors
Kennedy, A. I., & Strietholt, R.
Affiliations
International Association for the Evaluation of Educational Achievement (NL)
Corresponding author
Strietholt, Rolf
Venue
Educational Assessment, Evaluation and Accountability
Published
2023-09-30
Volume
35
Issue
4
Pages
475-501
ISSN
  • 1874-8597 (ISSN-L)
  • 1874-8600
OpenAlex
W4387221793
Cited by
45
References
42
Citations by year
2026: 13 · 2025: 17 · 2024: 12 · 2023: 3
FWCI
33.29
Type
journal article
Language
en
Open access
Locations
  • Educational Assessment Evaluation and Accountability (publishedVersion, cc-by)
  • OSF Preprints (OSF Preprints) (submittedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
Topics
  • Social Sciences › Education › Education during COVID-19 pandemic
  • Social Sciences › Education › School Choice and Performance
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
Keywords
school closures, COVID-19 pandemic, student reading achievement, learning loss, pandemic severity, lockdown stringency, socioeconomic deprivation, home computer access, cross-national comparison, education policy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review