Distance learning during COVID-19 school closures

Oudom Hean and Nattanicha Chairassamee

International Journal of Social Economics, 2023, vol. 50, issue 10, 1439-1452

Abstract: Purpose - The authors aim to analyze the inequality in accessing distance learning during COVID-19 school closures. Design/methodology/approach - The authors use the Household Pulse Survey, which is an effort by the United States (US) government to measure the well-being of American families during the COVID-19 pandemic. The authors employ a regression analysis to estimate the inequality in accessing distance learning by race and household income. Findings - Disadvantaged children from nonwhite and low-income families have much less access to distance learning, including less access to online classes, digital devices and the Internet. Schools are critical providers of the Internet and digital devices to children from disadvantaged households. Schools and parents devote more attention to these nonwhite children by spending extra time on their learning activities. Originality/value - This paper estimates the inequality in accessing distance learning during the COVID-19 crisis. Also, the authors analyze the responses of schools and parents toward this inequality.

Keywords: COVID-19; Digital divide; Distance learning; I22; I24 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijsepp:ijse-05-2022-0306

DOI: 10.1108/IJSE-05-2022-0306

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