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M-learning During COVID-19: A Systematic Literature Review

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Emerging Technologies for Developing Countries (AFRICATEK 2022)

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Abstract

Mobile learning (m-learning) offered opportunities for learning before COVID-19 disease (COVID-19) but experienced a significant surge in usage since learning moved to the homes. This systematic review collates studies published between 2020 and 2021 to understand the impact, challenges, opportunities, and gaps in m-learning during COVID-19. The key findings from the 26 papers reveal the extent to which many families, educators, and governments were caught off guard, some glaring family challenges, and social and digital divides inscribed in technology infrastructure, especially in developing countries. M-learning assumes adequate internet and digital technology infrastructure which means that developing countries continue to be affected the most. A research agenda is created for how m-learning can be better leveraged for future disruptions.

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Authors and Affiliations

  1. Sudan University of Science and Technology, Khartoum, Sudan

    Esmhan Jafer

  2. Centre for Applied Data Science, University of Johannesburg, Johannesburg, South Africa

    Hossana Twinomurinzi

Authors
  1. Esmhan Jafer
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  2. Hossana Twinomurinzi
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Correspondence to Esmhan Jafer .

Editor information

Editors and Affiliations

  1. Central University of Technology, Free State, Bloemfontein, South Africa

    Muthoni Masinde

  2. University of the Western Cape, Cape Town, South Africa

    Antoine Bagula

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Jafer, E., Twinomurinzi, H. (2023). M-learning During COVID-19: A Systematic Literature Review. In: Masinde, M., Bagula, A. (eds) Emerging Technologies for Developing Countries. AFRICATEK 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 503. Springer, Cham. https://doi.org/10.1007/978-3-031-35883-8_3

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  • DOI: https://doi.org/10.1007/978-3-031-35883-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35882-1

  • Online ISBN: 978-3-031-35883-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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