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Open Access

Impact of Mobile Technology and Use of Big Data in Physics Education During Coronavirus Lockdown

Department of Vocational and Technical Education, Faculty of Education, Alex Ekwueme Federal University, Ndufu-Alike, Abakaliki, P.M.B. 1010, Nigeria, and also with the Department of Mathematics and Computer Science, Coal City University, Enugu 2022/2023, Nigeria.
Department of Computer Science and Engineering, ABES Institute of Technology (affiliated to AKTU), Ghaziabad 20109, India.
Department of Science Education, Ebonyi State University, Abakaliki 480103, Nigeria.
Department of English Language and Literature, College of Science and Humanities in Slayel, Prince Sattam Bin Abdulaziz University, Al-Kharj 16436, Saudi Arabia.
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Abstract

The speed of spread of Coronavirus Disease 2019 led to global lockdowns and disruptions in the academic sector. The study examined the impact of mobile technology on physics education during lockdowns. Data were collected through an online survey and later evaluated using regression tools, frequency, and an analysis of variance (ANOVA). The findings revealed that the usage of mobile technology had statistically significant effects on physics instructors’ and students’ academics during the coronavirus lockdown. Most of the participants admitted that the use of mobile technologies such as smartphones, laptops, PDAs, Zoom, mobile apps, etc. were very useful and helpful for continued education amid the pandemic restrictions. Online teaching is very effective during lock-down with smartphones and laptops on different platforms. The paper brings the limelight to the growing power of mobile technology solutions in physics education.

Keywords

coronavirussmartphonemobile technologyphysics educationremote learning

References

[1]
World meters, Coronavirus updates live, https://www.worldometers.info/coronavirus/, 2022.
[2]
P. Sahu, Closure of universities due to coronavirus disease 2019 (COVID-19): Impact on education and mental health of students and academic staff, Cureus, vol. 12, no. 4, p. e7541, 2020.
Crossref Google Scholar
[3]
E. M. Onyema, Opportunities and challenges of the use of mobile phone technology in teaching and learning in Nigeria—A review, International Journal of Research in Engineering and Innovation, vol. 3, no. 6, pp. 352–358, 2019.
Crossref Google Scholar
[4]
E. M. Onyema, N. C. Eucheria, F. A. Obafemi, S. Sen, F. G. Atonye, A. Sharma, and A. O. Alsayed, Impact of coronavirus pandemic on education, Journal of Education and Practice, vol. 11, no. 13, pp. 108–121, 2020.
Google Scholar
[5]
N. McCarthy, COVID-19’s staggering impact on global education, https://www.statista.com/chart/21224/learners-impacted-by-national-school-closures/, 2020.
[6]
UNESCO, Adverse consequences of school closures, https://www.en.unesco.org/themes/education-emergencies/coronavirus-schoolclosures/consequences, 2020.
[7]
UNESCO, Adverse consequences of school closures, https://en.unesco.org/themes/educationemergencies/corona-virus-school-closures, 2022.
[8]
E. M. Onyema, E. C. Deborah, A. O. Alsayed, Q. N. Naveed, and S. Sanober, Online discussion forum as a tool for interactive learning and communication, International Journal of Recent Technology and Engineering, vol. 8, no. 4, pp. 4852–4859, 2019.
Crossref Google Scholar
[9]
E. M. Onyema, U. O. Anthonia, and E. C. Deborah, Potentials of mobile technologies in enhancing the effectiveness of inquiry-based learning approach, International Journal of Education (IJE), vol. 2, no. 1, pp. 1–25, 2019.
Google Scholar
[10]
E. P. Moraes, M. R. Confessor, and L. H. S. Gasparotto, Integrating mobile phones into science teaching to help students develop a procedure to evaluate the corrosion rate of iron in simulated seawater, J. of Chem. Edu., vol. 92, no. 10, pp. 1696–1699, 2015.
Crossref Google Scholar
[11]
N. Gromik, Smartphone-Based Learning in the Japanese ESL Classroom: A Case Study Report. Newcastle upon Tyne, UK: Cambridge Scholars Publishing, 2017.
[12]
E. M. Onyema, Integration of emerging technologies in teaching and learning process in Nigeria: The challenges, Central Asian Journal of Mathematical Theory and Computer Sciences, vol. 1, no. 1, pp. 35–39, 2019.
Google Scholar
[13]
D. Uwizeyimana, L. L. Yadav, T. Musengimana, and J. Uwamahoro, The impact of teaching approaches on effective physics learning: An investigation conducted in five Secondary Schools in Rusizi District, Rwanda, Rwandan Journal of Education, vol. 4, no. 2, pp. 4–14, 2018.
Google Scholar
[14]
S. A. Jegede and A. Julius, Enriching physics education in Nigeria towards enhancing a sustainable technological development, Greener Journal of Educational Research, vol. 3, no. 2, pp. 80–84, 2013.
Crossref Google Scholar
[15]
A. Elby, Helping physics students learn how to learn, American Journal of Physics, vol. 69, no. 7, pp. 54–64, 2001.
Crossref Google Scholar
[16]
Y. Ramma, A. Bholoa, M. Watts, and P. S. Nadai, Teaching and learning physics using technology: Making a case for the affective domain, Education Inquiry, vol. 9, no. 2, pp. 210–236, 2017.
Crossref Google Scholar
[17]
B. Alzougool and J. Almansour, The use of smartphone for learning activities by university students in Kuwait, in Proc. 4th Teaching & Education Conference, Venice, Italy, 2017, pp. 1–12.
Crossref Google Scholar
[18]
S. Iqbal and Z. A. Bhatti, An investigation of university student readiness towards m-learning using technology acceptance model, International Review of Research in Open and Distributed Learning, vol. 16, no. 4, pp. 83–103, 2015.
Crossref Google Scholar
[19]
E. M. Onyema, A. U. Eucharia, F. S. Gbenga, A. O. Roselyn, O. Daniel, and N. U. Kingsley, Pedagogical use of mobile technologies during coronavirus school closure, Journal of Computer Science and Its Applications, vol. 27, no. 2, pp. 97–110, 2020.
Crossref Google Scholar
[20]
I. P. Ifeanyi and J. E. Chukwuere, The impact of using smartphones on the academic performance of undergraduate students, Knowledge Management & E-Learning, vol. 10, no. 3, pp. 290–308, 2018.
Crossref Google Scholar
[21]
H. F. Kaiser, A second-generation little jiffy, Psychometrika, vol. 35, no. 4, pp. 401–415, 1970.
Crossref Google Scholar
[22]
M. S. Bartlett, A note on the multiplying factors for various χ2 approximations, Journal of the Royal Statistical Society: Series B (Methodological), vol. 16, no. 2, pp. 296–298, 1954.
Crossref Google Scholar
[23]
S. Sen and N. Antara, Influencing factors to stay off-campus living by students, International Multidisciplinary Research Journal, vol. 8, pp. 40–44, 2018.
Crossref Google Scholar
[24]
J. E. J. Hair, R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate data analysis (5th Ed). Upper Saddle River, NJ, USA: Prentice Hall, 1998.
Big Data Mining and Analytics
Volume 6 Issue 3,
September 2023
Pages 381-389
DOI: 10.26599/BDMA.2022.9020013
Cite this article:
Onyema EM, Khan R, Eucheria NC, et al. Impact of Mobile Technology and Use of Big Data in Physics Education During Coronavirus Lockdown. Big Data Mining and Analytics, 2023, 6(3): 381-389. https://doi.org/10.26599/BDMA.2022.9020013

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Received: 14 April 2022
Revised: 21 May 2022
Accepted: 02 June 2022
Published: 07 April 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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