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Did students learn less during the COVID-19 pandemic? Reading and mathematics competencies before and after the first pandemic wave
Published version of a preprint
Abstract
The COVID-19 pandemic disrupted classes in spring 2020. Temporary school closures supposedly led to a considerable learning loss, particularly for low-achieving students. Teachers faced challenges of remote learning environments. Students spent less time learning. The present study investigates the competencies of fifth graders in Baden-Württemberg, Germany, using large-scale assessments in reading and mathematics from annual mandatory tests in September (each n > 80,000). Competence scores were slightly lower in 2020 (after 2 months of school closures) compared with the three previous years (–0.07 SD for reading comprehension, –0.09 for operations, and –0.03 for numbers). Regarding mathematics, low-achieving students seem to have a learning backlog that deserves attention in future education. School characteristics such as the average sociocultural capital and the proportion of students with a migration background played a minor role in mediating the schools’ learning loss. Still, lower sociocultural capital was positively associated with larger learning loss in mathematics.
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“In operations and numbers, students at the 5th and 25th percentiles of initial achievement showed the greatest negative difference in score between the COVID and pre-COVID samples.”
From Unequal Learning Loss: How the COVID-19 Pandemic Influenced the Academic Growth of Learners at the Tails of the Achievement Distribution (2025) · cites this paper as Schult et al. (2022)
In the citing paper
“the 5th percentile group scored 28 points lower and the 95th percentile group scored 11 points higher than their pre-COVID peers”
From Unequal Learning Loss: How the COVID-19 Pandemic Influenced the Academic Growth of Learners at the Tails of the Achievement Distribution (2025) · cites this paper as Schult et al. (2022)
Citations
Cites
Wickham, H. (2016) · Use R! · doi:10.1007/978-3-319-24277-4 · Cited by 34,873
Lakens, D. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00863 · Cited by 10,303
The Split-Apply-Combine Strategy for Data Analysis
Wickham, H. (2011) · Journal of Statistical Software · doi:10.18637/jss.v040.i01 · Cited by 2,760
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 9×
“Eight weeks of closed schools in the Netherlands in spring 2020 was associated with a loss of learning of 3 percentile ranks (n > 250,000, Grades 4 through 7; Engzell et al., 2021).”
BackgroundResultInfluentialThe theory and practice of item response theory.
Ayala, D. (2009) · Guilford Press eBooks · Cited by 1,812
Learning 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
Ranking the effectiveness of worldwide COVID-19 government interventions
Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-01009-0 · Cited by 1,412
Projecting the Potential Impact of COVID-19 School Closures on Academic Achievement
Kuhfeld, M., Soland, J., Tarasawa, B., Johnson, A., Ruzek, E., & Liu, J. (2020) · Educational Researcher · doi:10.3102/0013189x20965918 · Cited by 997
Journal for Educational Research Online
(2021) · Journal for Educational Research Online / Journal für Bildungsforschung Online · doi:10.31244/jero · Cited by 886
Test Equating, Scaling, and Linking
Kolen, M. J., & Brennan, R. L. (2014) · Springer eBooks · doi:10.1007/978-1-4939-0317-7 · Cited by 646
Effects of COVID-19-Related School Closures on Student Achievement-A Systematic Review
Hammerstein, S., König, C., Dreisörner, T., & Frey, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.746289 · Cited by 588 · cited 1×
“Meta-analytic and systematic reviews, which included a preprint of the present study, estimate average learning losses between d = –0.09 (in reading; Hammerstein et al., 2021) and d = –0.17 (in mathematics; Zierer, 2021) during the first wave of the COVID-19 pandemic in the year 2020.”
BackgroundInfluentialGiorgio, D. P., Federico, B., Costa, P., Karpiński, Z., & Mazza, J. (2020) · RePEc: Research Papers in Economics · doi:10.2760/126686 · Cited by 534
Huber, S. G., & Helm, C. (2020) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-020-09322-y · Cited by 507
The effect of school closures on standardised student test outcomes
Maldonado, J. E., & De Witte, K. (2022) · British Educational Research Journal · doi:10.1002/berj.3754 · Cited by 499
Bloom, H. S., Hill, C. J., Black, A. R., & Lipsey, M. W. (2008) · Journal of Research on Educational Effectiveness · doi:10.1080/19345740802400072 · Cited by 477
The role of plausible values in large-scale surveys
Wu, M. (2005) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2005.05.005 · Cited by 409
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
COVID-19 and educational inequality: How school closures affect low- and high-achieving students
Grewenig, E., Lergetporer, P., Werner, K., Woessmann, L., & Zierow, L. (2021) · European Economic Review · doi:10.1016/j.euroecorev.2021.103920 · Cited by 260
Spitzer, M. W. H., & Musslick, S. (2021) · PLOS ONE · doi:10.1371/journal.pone.0255629 · Cited by 138
Zierer, K. (2021) · Education Sciences · doi:10.3390/educsci11060252 · Cited by 118 · cited 2×
“Combining the present findings with other large-scale studies yields learning loss estimates that are slightly larger than our effect sizes (d = –0.10 in native language domains such as reading; d = –0.17 in mathematics; Zierer, 2021).”
BackgroundResultInfluentialDie Rolle der Sprache für zuwanderungsbezogene Ungleichheiten im Bildungserfolg
Kempert, S., Edele, A., Rauch, D. P., Wolf, K., Paetsch, J., Darsow, A., Maluch, J. T., & Stanat, P. (2015) · Springer eBooks · doi:10.1007/978-3-658-04322-3_5 · Cited by 110
Meeter, M. (2021) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2021.100163 · Cited by 90
Voss, T., & Wittwer, J. (2020) · Unterrichtswissenschaft · doi:10.1007/s42010-020-00088-2 · Cited by 70
Die Bedeutung der Itemauswahl und der Modellwahl für die längsschnittliche Erfassung von Kompetenzen
Robitzsch, A., Dörfler, T., Pfost, M., & Artelt, C. (2011) · Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie · doi:10.1026/0049-8637/a000052 · Cited by 20
„Prognosen sind schwierig, besonders wenn sie die Zukunft betreffen“
Fickermann, D. (2020) · DDS – Die Deutsche Schule · doi:10.31244/dds.2020.01.02 · Cited by 10
Sosu, E., & Klein, M. (2021) · doi:10.31235/osf.io/f4jsy · Cited by 8
Fuchs, G., & Brunner, M. (2017) · Zeitschrift für Pädagogische Psychologie · doi:10.1024/1010-0652/a000195 · Cited by 5
Schult, J., & Lindner, M. A. (2019) · Psychologie in Erziehung und Unterricht · doi:10.2378/peu2018.art31d · Cited by 3
Self-citationWie viele Punkte auf der TIMSS-Metrik entsprechen einem Lernjahr?
Wendt, H., Kasper, D. M., Bos, W., Vennemann, M., & Goy, M. (2016) · Springer eBooks · doi:10.1007/978-3-658-15003-7_8 · Cited by 3
Rudolph, J., Schoreit, E., & Lipowsky, F. (2016) · Psychologie in Erziehung und Unterricht · doi:10.2378/peu2016.art13d · Cited by 2
Research works printed but not linked: 9
- Depping D., 2021, DDS – Die Deutsche Schule, Beiheft, 17, 51
- Fischer U., 2017, leseforum.ch, 1
- Immerfall S., 2020, Aus Politik und Zeitgeschichte, 70, 22
- Krüsken J., 2007, Kompetenzaufbau und Laufbahnen im Schulsystem: Ergebnisse einer Längsschnittuntersuchung an Grundschulen, 41
- Kuhfeld M., 2020, Technical appendix for: Learning during COVID-19: Initial findings on students’ reading and math achievement and growth
- Muijs D., 2021, What’s working well in remote education
- R Core Team., 2021, R: A language and environment for statistical computing [Computer software]
- Schulz A., 2017, Handbuch Rechenschwäche, 396
- Stanat P., 2017, ). IQB-Bildungstrend 2016. Kompetenzen in den Fächern Deutsch und Mathematik am Ende der 4. Jahrgangsstufe im zweiten Ländervergleich [IQB trends in student achievement 2016. The second national comparison of German and mathematics proficiencies at the end of fourth grade]
Cited by
Sorted by citations
A systematic review and meta-analysis of the evidence on learning during the COVID-19 pandemic
Betthäuser, B. A., Bach-Mortensen, A. M., & Engzell, P. (2023) · Nature Human Behaviour · doi:10.1038/s41562-022-01506-4 · Cited by 568
Effects of COVID-19-Related School Closures on Student Achievement-A Systematic Review
Hammerstein, S., König, C., Dreisörner, T., & Frey, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.746289 · Cited by 588
Learning loss during Covid-19: An early systematic review
Donnelly, R., & Patrinos, H. A. (2022) · PROSPECTS · doi:10.1007/s11125-021-09582-6 · Cited by 445
The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis
Di Pietro, G. (2023) · Educational Research Review · doi:10.1016/j.edurev.2023.100530 · Cited by 173
COVID-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
Metadata
- Authors
- Schult, J., Mahler, N., Fauth, B., & Lindner, M. A.
- Affiliations
- Institute for Educational Analysis Baden-Württemberg (IBBW), Stuttgart, Germany
- University of Tübingen (DE)
- Leibniz Institute for Science and Mathematics Education (DE)
- Corresponding author
- Schult, Johannes
- Venue
- School Effectiveness and School Improvement
- Publisher
- Informa UK Limited
- Published
- 2022-04-11
- Volume
- 33
- Issue
- 4
- Pages
- 544-563
- ISSN
- 0924-3453 (ISSN-L)
- 1744-5124
- OpenAlex
- W4225792954
- Cited by
- 262
- References
- 30
- Citations by year
- 2026: 15 · 2025: 37 · 2024: 44 · 2023: 71 · 2022: 48
- FWCI
- 107.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- School Effectiveness and School Improvement (publishedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- 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
- COVID-19 pandemic, learning loss, school closures, distance education, reading comprehension, mathematical ability, fifth grade students, low-achieving students, socio-cultural capital, migration background, school characteristics, large-scale assessment, Baden-Württemberg
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