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Digital Divide or Digital Provide? Technology, Time Use, and Learning Loss during COVID-19

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  • M. Niaz Asadullah
  • Anindita Bhattacharjee

Abstract

COVID-19 school closure has caused a worldwide shift towards technology-aided home schooling. Given widespread poverty in developing countries, this has raised concerns over new forms of learning inequalities. Using nationwide data on primary and secondary school children in slum and rural households in Bangladesh, we examine how learning time at home during the early months of school closure varies by access to technology at home. Data confirms a significant socio-economic and gender divide in access to TV, smartphone, computer, and internet among rural households. However, the analysis of daily time use data shows only a modest return to a technology in terms of boosting learning time at home. The learning-grade gradient is shallow and insensitive to TV, smartphone, and computer access at home. We also find no evidence that technology access per se helps learning by boosting time spent in online schooling and private supplementary coaching/tutoring. While technology access matters in households where parents act as home tutors, the magnitude of such a complementary effect are not large. The results imply a loss of out-of-school learning time during school closure even in households with technology access. We consider additional hypotheses relating to institutional and socio-economic barriers to home-based learning in developing countries.

Suggested Citation

  • M. Niaz Asadullah & Anindita Bhattacharjee, 2022. "Digital Divide or Digital Provide? Technology, Time Use, and Learning Loss during COVID-19," Journal of Development Studies, Taylor & Francis Journals, vol. 58(10), pages 1934-1957, October.
  • Handle: RePEc:taf:jdevst:v:58:y:2022:i:10:p:1934-1957
    DOI: 10.1080/00220388.2022.2094253
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    Cited by:

    1. Sakaue, Katsuki & Wokadala, James & Ogawa, Keiichi, 2023. "Effect of parental engagement on children’s home-based continued learning during COVID-19–induced school closures: Evidence from Uganda," International Journal of Educational Development, Elsevier, vol. 100(C).
    2. Asadullah, M. Niaz, 2024. "Back to school after COVID-19 pandemic: Resumption or transitional disruption?," International Journal of Educational Development, Elsevier, vol. 109(C).
    3. Dessy, Sylvain & Gninafon, Horace & Tiberti, Luca & Tiberti, Marco, 2023. "Free compulsory education can mitigate COVID-19 disruptions’ adverse effects on child schooling," Economics of Education Review, Elsevier, vol. 97(C).
    4. Wang, Shumin & Qu, Caiping & Yin, Lingyan, 2025. "Digital literacy, labor migration and employment, and rural household income disparities," International Review of Economics & Finance, Elsevier, vol. 99(C).
    5. Hakim, Dani Rahman & Rosini, Iin, 2022. "Regional Income Inequality in Indonesia: The Role of Public and Private Investment," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(3), pages 87-101.
    6. Chairassamee, Nattanicha & Chancharoenchai, Kanokwan & Saraithong, Wuthiya & Temsumrit, Navarat, 2024. "Inequality in educational opportunity in Thailand during the COVID-19 pandemic," International Journal of Educational Development, Elsevier, vol. 109(C).

    More about this item

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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