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Learning during the Pandemic: Evidence from Uzbekistan

Syedah Aroob Iqbal and Harry Patrinos

No 1292, GLO Discussion Paper Series from Global Labor Organization (GLO)

Abstract: School closures induced by the COVID-19 pandemic led to concerns about student learning. This paper evaluates the effect of school closures on student learning in Uzbekistan, using a unique dataset that allows assessing change in learning over time. The findings show that test scores in math for grade 5 students improved over time by 0.29 standard deviation despite school closures. The outcomes among students who were assessed in 2019 improved by an average of 0.72 standard deviation over the next two years, slightly lower than the expected growth of 0.80 standard deviation. The paper explores the reasons for no learning loss.

Keywords: COVID-19; learning loss; school closures; social inequality; digital divide (search for similar items in EconPapers)
JEL-codes: I21 I24 (search for similar items in EconPapers)
Date: 2023
New Economics Papers: this item is included in nep-edu and nep-ure
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https://www.econstor.eu/bitstream/10419/272217/1/GLO-DP-1292.pdf (application/pdf)

Related works:
Working Paper: Learning during the Pandemic: Evidence from Uzbekistan (2023) Downloads
Working Paper: Learning during the Pandemic: Evidence from Uzbekistan (2023) Downloads
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