IDEAS home Printed from https://ideas.repec.org/a/sae/jodepp/v7y2022i1p10-30.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/24551333211049630
    Download Restriction: no

    File URL: https://libkey.io/10.1177/24551333211049630?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    4. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Presly R. Obukoadata & Katharina Hammler & Hassan Yusuf & Audu Liman & Jamiu S. Olumoh, 2024. "Transacting knowledge when there are no schools during the COVID-19 lockdown in Nigeria: the SENSE-transactional radio instruction experience," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Badal, P.S. & Kumar, Pramod & Bisaria, Geeta, 2006. "Dimensions and Determinants of Peoples’ Participation in Watershed Development Programmes in Rajasthan," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 19(1), January.
    2. Alboghdady, Mohamed Altabei, 2014. "Nonparametric Model For Measuring Impact Of Inputs Density On Egyptian Tomato Production Efficiency," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(4), pages 1-10, October.
    3. Thomas Niebel & Fabienne Rasel & Steffen Viete, 2019. "BIG data – BIG gains? Understanding the link between big data analytics and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(3), pages 296-316, April.
    4. Mihalopoulos, Vassilis & Demoussis, Michael, 2000. "Consumption Profiles for Various Food Groups in Greece," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 1(2), pages 1-12, August.
    5. Caroline Bayart & Patrick Bonnel, 2010. "L'impact du mode d'enquête sur la mesure des comportements de mobilité," Économie et Statistique, Programme National Persée, vol. 437(1), pages 47-70.
    6. Calcagno, R. & Renneboog, L.D.R., 2004. "Capital Structure and Managerial Compensation : The Effects of Renumeration Seniority," Discussion Paper 2004-120, Tilburg University, Center for Economic Research.
    7. Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    8. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    9. Alfred Michael Dockery & Mark N. Harris & Nicholas Holyoak & Ranjodh B. Singh, 2021. "A methodology for projecting sparse populations and its application to remote Indigenous communities," Journal of Geographical Systems, Springer, vol. 23(1), pages 37-61, January.
    10. Vashishtha, Ashutosh & Sharma, Anil K., 2012. "Indian financial market regulation: A dialectic model," Journal of Economics and Business, Elsevier, vol. 64(1), pages 77-89.
    11. Fossen, Frank M. & Glocker, Daniela, 2017. "Stated and revealed heterogeneous risk preferences in educational choice," European Economic Review, Elsevier, vol. 97(C), pages 1-25.
    12. Diégo Legros & Fabrice Galia, 2012. "Are innovation and R&D the only sources of firms’ knowledge that increase productivity? An empirical investigation of French manufacturing firms," Journal of Productivity Analysis, Springer, vol. 38(2), pages 167-181, October.
    13. Adam Malešević & Dušan Barać & Dragan Soleša & Ema Aleksić & Marijana Despotović-Zrakić, 2021. "Adopting xRM in Higher Education: E-Services Outside the Classroom," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    14. Simplice A. Asongu & Mushfiqur Rahman & Mohammad Alghababsheh, 2022. "Information Technology, Business Sustainability and Female Economic Participation in Sub-Saharan Africa," Working Papers 22/057, European Xtramile Centre of African Studies (EXCAS).
    15. Andrés Felipe Martínez, 2006. "Determinantes de la supervivencia de empresas industriales en el área metropolitana de Cali 1994-2003," Ensayos Sobre Economía Regional (ESER) 2320, Banco de la República - Economía Regional.
    16. Cao, Lihong & Du, Yan & Hansen, Jens Ørding, 2017. "Foreign institutional investors and dividend policy: Evidence from China," International Business Review, Elsevier, vol. 26(5), pages 816-827.
    17. Eric Chiang & Djeto Assane, 2007. "Determinants of music copyright violations on the university campus," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(3), pages 187-204, September.
    18. Renneboog, L.D.R. & Szilagyi, P.G., 2009. "Shareholder Activism through the Proxy Process," Other publications TiSEM cc25d736-2965-4511-b100-1, Tilburg University, School of Economics and Management.
    19. Caroline Bayart & Patrick Bonnel, 2015. "How to Combine Survey Media (Web, Telephone, Face-to-Face): Lyon and Rhône-alps Case Study," Post-Print halshs-01663683, HAL.
    20. Luca Grilli, 2005. "Internet start-ups access to the bank loan market: evidence from Italy," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 293-305.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jodepp:v:7:y:2022:i:1:p:10-30. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.