Prospective Teachers’ Online Learning Mathematics Activities in The Age of COVID-19: A Cluster Analysis Approach

Eddie M. Mulenga; José M. Marbán

doi:10.29333/ejmste/8345

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Eddie M. Mulenga ¹ ^* , José M. Marbán ²

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¹ PhD Candidate, School of Doctoral Studies, University of Valladolid, SPAIN² Department of Experimental, Social and Mathematical Sciences Teaching, University of Valladolid, SPAIN^* Corresponding Author

Abstract

The learning situation in the Zambian education sector has changed in the age of COVID-19 when the first two cases of COVID-19 infection were detected in the country rising to 45 local and at least 1.8 million infections globally by 13^th April, 2020. Zambia became one of the many countries globally that has prematurely closed all schools. This study examines prospective teachers’ online learning mathematics activities in the age of COVID-19 pandemic. Cluster analysis results revealed that online learning mathematics activities have significant mean differences in clustering. Cluster 2 recorded the best performance, implying that students in this cluster exhibited excellent online learning skills for mathematics in technology-rich environments in which they will be forced to study and work in the future. The study reviews various available online platforms and indicates the one that will be opened by the government which is the Educational Channel on TV.

Keywords

COVID-19
online learning
virtual teaching
mathematics education
prospective teachers
Zambia

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, 2020, Volume 16, Issue 9, Article No: em1872

https://doi.org/10.29333/ejmste/8345

Publication date: 15 Jun 2020

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Article Downloads: 11362

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How to cite this article

APA

Mulenga, E. M., & Marbán, J. M. (2020). Prospective Teachers’ Online Learning Mathematics Activities in The Age of COVID-19: A Cluster Analysis Approach. Eurasia Journal of Mathematics, Science and Technology Education, 16(9), em1872. https://doi.org/10.29333/ejmste/8345

Vancouver

Mulenga EM, Marbán JM. Prospective Teachers’ Online Learning Mathematics Activities in The Age of COVID-19: A Cluster Analysis Approach. EURASIA J Math Sci Tech Ed. 2020;16(9):em1872. https://doi.org/10.29333/ejmste/8345

AMA

Mulenga EM, Marbán JM. Prospective Teachers’ Online Learning Mathematics Activities in The Age of COVID-19: A Cluster Analysis Approach. EURASIA J Math Sci Tech Ed. 2020;16(9), em1872. https://doi.org/10.29333/ejmste/8345

Chicago

Mulenga, Eddie M., and José M. Marbán. "Prospective Teachers’ Online Learning Mathematics Activities in The Age of COVID-19: A Cluster Analysis Approach". Eurasia Journal of Mathematics, Science and Technology Education 2020 16 no. 9 (2020): em1872. https://doi.org/10.29333/ejmste/8345

Harvard

Mulenga, E. M., and Marbán, J. M. (2020). Prospective Teachers’ Online Learning Mathematics Activities in The Age of COVID-19: A Cluster Analysis Approach. Eurasia Journal of Mathematics, Science and Technology Education, 16(9), em1872. https://doi.org/10.29333/ejmste/8345

MLA

Mulenga, Eddie M. et al. "Prospective Teachers’ Online Learning Mathematics Activities in The Age of COVID-19: A Cluster Analysis Approach". Eurasia Journal of Mathematics, Science and Technology Education, vol. 16, no. 9, 2020, em1872. https://doi.org/10.29333/ejmste/8345