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Learning inequality during the COVID-19 pandemic
Abstract
During the pandemic-induced lockdown in 2020, schools in many countries were forced to close for extended periods. It is of great policy interest to know whether students are able to have their educational needs met in these cir- cumstances, and identify groups at special risk. In this pre-analysis plan, we outline our data and research questions for a study on learning loss during the pandemic. The data comprise anonymized test scores from Dutch primary school students that we obtain through a partnership with the provider of a digital platform service to schools. We propose a difference-in-differences design to test whether educational performance declines during lockdown relative to previous years, and whether socioeconomically disadvantaged students are particularly affected. We also plan to test for differences by previous performance, gender and subject domain. We expect losses to be concentrated among disadvantaged students and boys, and to be greater in mathematics than spelling or reading.
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“Our results might be an upper bound for countries which experienced a period of shorter school closures or which relied on better distance learning strategies (e.g. as in the Netherlands; Engzell et al., 2020), while they serve as lower bound estimates for countries with longer school closures or less developed remote teaching strategies (e.g. as in the USA; Slavin, 2020).”
From The effect of school closures on standardised student test outcomes (2022) · cites this paper as Engzell et al., 2020
Citations
Cited by
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
Goldemberg, D., Azevedo, J. P., Iqbal, S. A., Hasan, A., & Geven, K. (2020) · doi:10.1596/1813-9450-9284 · Cited by 476
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
Large socio-economic, geographic and demographic disparities exist in exposure to school closures
Parolin, Z., & Lee, E. K. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01087-8 · Cited by 217
Metadata
- Authors
- Engzell, P., Frey, A., & Verhagen, M. D.
- ORCID
- Frey, Arun
- Venue
- OSF Registries
- Publisher
- OSF Registries
- Published
- 2020
- References
- 0
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- CoChat. (2026). Citation check: Learning inequality during the COVID-19 pandemic. https://app.cochat.ai/papers/10.17605/osf.io/qtndg
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- Engzell, P., Frey, A., & Verhagen, M. D. (2020). Learning inequality during the COVID-19 pandemic. OSF Registries. https://doi.org/10.17605/osf.io/qtndg
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.