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COVID-19 and Digital Primary Education: Impact and Strategies for Sustainable Development

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  • Sudarshan Maity
  • Tarak Nath Sahu
  • Nabanita Sen

Abstract

The present study is based on primary data of 720 students from primary schools in West Bengal, India. With adherence to the Logistic Regression Model, the study investigates and analyses the factors that influence digital learning of primary students during the COVID-19 pandemic situation. Further with the application of Welch’s t -test, comparative study have been conducted based on parameters as village and city school students, private and government school students and gender discrimination. The findings conclude that the school structure; willingness of the school and teachers to conduct virtual classes; availability and accessibility of high-speed internet and economic capability of parents to bear the exorbitant internet charges are significant dimensions in virtual learning of primary section students. The study also confirms that during the pandemic girl students and students from village government schools are the worst hit in comparison to boys who are from city-based schools and private schools respectively.

Suggested Citation

  • Sudarshan Maity & Tarak Nath Sahu & Nabanita Sen, 2022. "COVID-19 and Digital Primary Education: Impact and Strategies for Sustainable Development," Journal of Development Policy and Practice, , vol. 7(1), pages 10-30, January.
  • Handle: RePEc:sae:jodepp:v:7:y:2022:i:1:p:10-30
    DOI: 10.1177/24551333211049630
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    1. Mutaz Alharbi, 2020. "The Economic Effect of Coronavirus (COVID-19) on Higher Education in Jordan: An Analytical Survey," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 521-532.
    2. José-María Romero-Rodríguez & Inmaculada Aznar-Díaz & Francisco-Javier Hinojo-Lucena & María-Pilar Cáceres-Reche, 2020. "Models of good teaching practices for mobile learning in higher education," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-7, December.
    3. Maddala,G. S., 1986. "Limited-Dependent and Qualitative Variables in Econometrics," Cambridge Books, Cambridge University Press, number 9780521338257, October.
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