4.8 Article

Learning loss due to school closures during the COVID-19 pandemic

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2022376118

关键词

COVID-19; learning loss; school closures; social inequality; digital divide

资金

  1. Swedish Research Council for Health, Working Life, and Welfare (FORTE) [2016-07099]
  2. Nuffield College
  3. Leverhulme Center for Demographic Science, The Leverhulme Trust
  4. UK Economic and Social Research Council (ESRC)
  5. German Academic Scholarship Foundation
  6. UK ESRC

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School closures during the pandemic in the Netherlands led to a learning loss of about 3 percentile points or 0.08 standard deviations for primary school students, with a larger impact on students from less-educated homes. The study suggests that the effect is due to the cumulative impact of learned knowledge rather than temporary influences.
Suspension of face-to-face instruction in schools during the COVID-19 pandemic has led to concerns about consequences for students? learning. So far, data to study this question have been limited. Here we evaluate the effect of school closures on primary school performance using exceptionally rich data from The Netherlands (n ? 350,000). We use the fact that national examinations took place before and after lockdown and compare progress during this period to the same period in the 3 previous years. The Netherlands underwent only a relatively short lockdown (8 wk) and features an equitable system of school funding and the world?s highest rate of broadband access. Still, our results reveal a learning loss of about 3 percentile points or 0.08 standard deviations. The effect is equivalent to one-fifth of a school year, the same period that schools remained closed. Losses are up to 60% larger among students from less-educated homes, confirming worries about the uneven toll of the pandemic on children and families. Investigating mechanisms, we find that most of the effect reflects the cumulative impact of knowledge learned rather than transitory influences on the day of testing. Results remain robust when balancing on the estimated propensity of treatment and using maximum-entropy weights or with fixed-effects specifications that compare students within the same school and family. The findings imply that students made little or no progress while learning from home and suggest losses even larger in countries with weaker infrastructure or longer school closures.

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