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

Esmhan Jafer; Hossana Twinomurinzi

doi:10.1007/978-3-031-35883-8_3

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

Esmhan Jafer
, Hossana Twinomurinzi

Centre for Applied Data Science

Sudan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Emerging Technologies for Developing Countries - 5th EAI International Conference, AFRICATEK 2022, Proceedings
Editors	Muthoni Masinde, Antoine Bagula
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	33-49
Number of pages	17
ISBN (Print)	9783031358821
DOIs	https://doi.org/10.1007/978-3-031-35883-8_3
Publication status	Published - 2023
Event	5th EAI International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2022 - Bloemfontein, South Africa Duration: 5 Dec 2022 → 7 Dec 2022

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	503 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	5th EAI International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2022
Country/Territory	South Africa
City	Bloemfontein
Period	5/12/22 → 7/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

COVID-19
Higher education
Online education
Online learning
m-learning

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1007/978-3-031-35883-8_3

Cite this

Jafer, E., & Twinomurinzi, H. (2023). M-learning During COVID-19: A Systematic Literature Review. In M. Masinde, & A. Bagula (Eds.), Emerging Technologies for Developing Countries - 5th EAI International Conference, AFRICATEK 2022, Proceedings (pp. 33-49). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 503 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35883-8_3

Jafer, Esmhan ; Twinomurinzi, Hossana. / M-learning During COVID-19 : A Systematic Literature Review. Emerging Technologies for Developing Countries - 5th EAI International Conference, AFRICATEK 2022, Proceedings. editor / Muthoni Masinde ; Antoine Bagula. Springer Science and Business Media Deutschland GmbH, 2023. pp. 33-49 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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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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Jafer, E & Twinomurinzi, H 2023, M-learning During COVID-19: A Systematic Literature Review. in M Masinde & A Bagula (eds), Emerging Technologies for Developing Countries - 5th EAI International Conference, AFRICATEK 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 503 LNICST, Springer Science and Business Media Deutschland GmbH, pp. 33-49, 5th EAI International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2022, Bloemfontein, South Africa, 5/12/22. https://doi.org/10.1007/978-3-031-35883-8_3

M-learning During COVID-19: A Systematic Literature Review. / Jafer, Esmhan; Twinomurinzi, Hossana.
Emerging Technologies for Developing Countries - 5th EAI International Conference, AFRICATEK 2022, Proceedings. ed. / Muthoni Masinde; Antoine Bagula. Springer Science and Business Media Deutschland GmbH, 2023. p. 33-49 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 503 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - M-learning During COVID-19

T2 - 5th EAI International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2022

AU - Jafer, Esmhan

AU - Twinomurinzi, Hossana

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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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KW - Higher education

KW - Online education

KW - Online learning

KW - m-learning

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M3 - Conference contribution

AN - SCOPUS:85171201366

SN - 9783031358821

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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BT - Emerging Technologies for Developing Countries - 5th EAI International Conference, AFRICATEK 2022, Proceedings

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PB - Springer Science and Business Media Deutschland GmbH

Y2 - 5 December 2022 through 7 December 2022

ER -

Jafer E, Twinomurinzi H. M-learning During COVID-19: A Systematic Literature Review. In Masinde M, Bagula A, editors, Emerging Technologies for Developing Countries - 5th EAI International Conference, AFRICATEK 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 33-49. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-031-35883-8_3

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this