Factors Influencing Rural Pharmacy Students' Access to E-Learning in Zambia During the Coronavirus Disease 2019 Pandemic: A Qualitative Investigation

Authors

  • Kennedy Mwila Graduate School of Education, Peking University, Beijing, China
  • Steward Mudenda Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, Zambia
  • Martin Kampamba Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, Zambia
  • Webrod Mufwambi Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, Zambia
  • Enala S. Lufungulo Graduate School of Education, Peking University, Beijing, China
  • Margaret Phiri Department of Pharmacy, School of Medicine and Health Sciences, Mulungushi University, Kabwe, Zambia
  • Christabel N. Hikaambo Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, Zambia

Keywords:

Academic performance, COVID-19, Coronavirus disease, E-Learning, Online learning, Pandemic, Pharmacy students

Abstract

Background
The coronavirus disease 2019 (COVID-19) pandemic has negatively affected the education sector globally. This has resulted in learning institutions adopting e-learning techniques. E-learning implementation in higher education continues to gain prominence in both developed and developing countries. Most universities are exploring different ways of using information and communications technology (ICT). However, ICT remains a challenge more especially for students who come from rural areas.
Aim
This study was aimed at exploring the factors that affect access to e-learning among rural-based pharmacy students in Zambia.
Methods
A qualitative case study was conducted among ten (10) purposively sampled pharmacy students at the University of Zambia. The study participants were from the Manying, a district of North-Western Province, the Sinda district of Eastern Province, the Nalolo district of Western Province, the Chipili district of Luapula Province and the Mbala district of Northern Province. Semi structured interviews were used to collect data from the respondents. Data were analyzed using the framework analysis. The sociodemographic characteristics indicate that ten (10) respondents were drawn from Zambia’s five (5) provinces. Six qualitative themes were generated these included devices used for e-learning; the effectiveness of the devices; student performance; internet connectivity; and electrification of the houses. Key findings suggest that the most commonly used device was a smartphone, which posed challenges to effective learner participation in e-learning. Poor internet connectivity, non-electrification of students’ houses, electricity outages, and costs-associated with internet use negatively affected students in accessing online learning and could adversely affect their academic activities and performance.
Conclusion
The COVID-19 pandemic has negatively affected access to e-learning among rural pharmacy students in Zambia. The implications of the challenges faced by the rural pharmacy students are that their academic activities and performance were negatively affected. Therefore, this posed a threat to the rights to universal access to education of the rural students who were mostly venerable.

References

Tabari P, Amini M, Moghadami M, Moosavi M. International pub-lic health responses to COVID-19 outbreak: A rapid review. Iran J Med Sci. 2020; 45(3): 157-169. doi: 10.30476/ijms.2020.85810.1537

Mudenda S, Mukosha M, Meyer JC, Fadare J, Godman B, Kam-pamba M, et al. Awareness and acceptance of COVID-19 vaccines among pharmacy students in Zambia: The implications for ad-dressing vaccine hesitancy. 2021. doi: 10.21203/rs.3.rs-651501/v1

Cheng SO, Khan S. Europe’s response to COVID-19 in March and April 2020-A letter to the editor on “World Health Organiza-tion declares global emergency: A review of the 2019 novel coro-navirus (COVID-19)”(Int J Surg 2020; 76: 71-6). Int J Surg. 2020; 78: 3-4. doi: 10.1016/j.ijsu.2020.04.011

Mudenda S, Zulu A, Phiri MN, Ngazimbi M, Mufwambi W, Ka-sanga M, et al. Impact of coronavirus disease 2019 (COVID-19) on college and university students: A global health and education problem. Aquademia. 2020; 4(2): ep20026. doi: 10.29333/aqua-demia/8494

Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, Iosifidis C, et al. The socio-economic implications of the coronavirus pan-demic (COVID-19): A review. Int J Surg. 2020; 78: 185-193. doi: 10.1016/j.ijsu.2020.04.018

Pokhrel S, Chhetri R. A literature review on impact of COV-ID-19 pandemic on teaching and learning. Higher Education for the Future. 2021; 8(1): 133-141. doi: 10.1177/2347631120983481

United Nations Educational, Scientific and Cultural Organiza-tion (UNESCO). COVID-19 educational disruption and response. 2020. Web site. https://en.unesco.org/news/covid-19-education-al-disruption-and-response. Accessed August 17, 2021.

Amir LR, Tanti I, Maharani DA, Wimardhani YS, Julia V, Sulijaya B, et al. Student perspective of classroom and distance learning during COVID-19 pandemic in the undergraduate dental study program Universitas Indonesia. BMC Medical Education. 2020; 20(1): 1-8. doi: 10.21203/rs.3.rs-42334/v2

Zalat MM, Hamed MS, Bolbol SA. The experiences, challenges, and acceptance of e-learning as a tool for teaching during the CO-VID-19 pandemic among university medical staff. PLoS One. 2021; 16(3): e0248758. doi: 10.1371/journal.pone.0248758

Zhou L, Wu S, Zhou M, Li F. ‘School’s Out, But Class’ On’, The largest online education in the world today: Taking China’s practical exploration during the COVID-19 epidemic prevention and control as an example. Best Evid Chin Edu. 2020; 4(2): 501-519. doi: 10.15354/bece.20.ar023

Mwila K, Kalolo F, Mudenda S, Hikaambo CN. Impact of COVID-19 on academic activities of final year nursing students: A Zambian reflection. International Journal of Basic & Clinical Phar-macology. 2021; 10(7): 806. doi: 10.18203/2319-2003.ijbcp20212377

Nnajiofor FN, Achukwu B. Benefits, challenges and implication of implementing e-learning Nigeria higher institutions. UNIZIK Orient Journal of Education. 2011; 6(1): 221-229.

Bhuasiri W, Xaymoungkhoun O, Zo H, Rho JJ, Ciganek AP. Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Comput-ers & Education. 2012; 58(2): 843-855. doi: 10.1016/j.compe-du.2011.10.010 Mwila K et al

Awidi IT. E-learning implementation strategies for an ICT-challenged environment: Case of the University of Ghana, Legon. 2013.

Kituyi G, Tusubira I. A framework for the integration of e-learning in higher education institutions in developing countries, International Journal of Education and Development using Infor-mation and Communication Technology (IJEDICT), Vol. 9, Issue 2, pp. 19-36. International Journal of Education and Development using ICT. 2013; 9(2): 19-36.

Perienen A. Frameworks for ICT integration in mathematics education-A teacher’s perspective. Eurasia Journal of Mathematics, Science and Technology Education. 2020; 16(6): em1845. doi: 10.29333/ ejmste/7803

Dabbagh N. Pedagogical models for E-Learning: A theory-based design framework. International Journal of Technology in Teaching and Learning. 2005; 1(1): 25-44.

Mehlenbacher B. Instruction and Technology: Designs for Everyday Learning. MA, USA: MIT Press; 2010.

Malterud K, Siersma VD, Guassora AD. Sample size in qualita-tive interview studies: guided by information power. Qual Health Res. 2016; 26(13): 1753-1760. doi: 10.1177/1049732315617444

Fugard AJ, Potts HW. Supporting thinking on sample siz-es for thematic analyses: A quantitative tool. International Jour-nal of Social Research Methodology. 2015; 18(6): 669-684. doi: 10.1080/13645579.2015.1005453

Vasileiou K, Barnett J, Thorpe S, Young T. Characterising and justifying sample size sufficiency in interview-based studies: sys-tematic analysis of qualitative health research over a 15-year period. BMC Medical Research Methodology. 2018; 18(1): 1-18. doi: 10.1186/ s12874-018-0594-7

Kombo DK, Tromp LAD. Proposal and Thesis Writing: An intro-duction. Nairobi. Nairobi, Kenya: Paulines Publications; 2006.

Ward DJ, Furber C, Tierney S, Swallow V. Using F ramework A nalysis in nursing research: a worked example. J Adv Nurs. 2013; 69(11): 2423-2431. doi: 10.1111/jan.12127

Sikombe V, Siyandi K, Chanda J, Chanda M. The effects of e-learning on student’s academic performance and the role mobile technolo gies play at the University of Zambia. The University Of Zambia; 2020.

Cantrell SW, O’Leary P, Ward KS. Strategies for success in online learning. Nurs Clin North Am. 2008; 43(4): 547-555. doi: 10.1016/j.cnur.2008.06.003

Childs S, Blenkinsopp E, Hall A, Walton G. Effective e-learning for health professionals and students—barriers and their solutions. A systematic review of the literature—findings from the HeXL project. Health Information & Libraries Journal. 2005; 22: 20-32. doi: 10.1111/j.1470-3327.2005.00614.x

Darko-Adjei N. The use and effect of smartphones in students' learning activities: Evidence from the University of Ghana, Legon. 2019.

Truong D. As classes move online, what happens to students without internet or computers. 2020. Web site. https://www.npr. org/local/305/2020/03/18/817691597/as-classes-move-online-what-happens-to-students-without-internet-or-computers. Ac-cessed August 17, 2021.

Abbasi S, Ayoob T, Malik A, Memon SI. Perceptions of stu-dents regarding e-learning during Covid-19 at a private medi-cal college. Pak J Med Sci. 2020; 36(COVID19-S4): S57-S61. doi: 10.12669/pjms.36.COVID19-S4.2766

García-Martínez I, Fernández-Batanero JM, Cobos Sanchiz D, Luque de La Rosa A. Using mobile devices for improving learn-ing outcomes and teachers’ professionalization. Sustainability. 2019; 11(24): 6917. doi: 10.3390/su11246917

Roberts N, Rees M. Student use of mobile devices in university lectures. Australasian Journal of Educational Technology. 2014; 30(4): 415-426. doi: 10.14742/ajet.589

Male G, Pattinson C. Enhancing the quality of e-learning through mobile technology: A socio-cultural and technology perspective towards quality e-learning applications. Campus-Wide Information Systems. 2011; 28(5): 331-344. doi: 10.1108/10650741111181607

Olum R, Atulinda L, Kigozi E, Nassozi DR, Mulekwa A, Bongomin F, et al. Medical education and E-learning during CO-VID-19 pandemic: Awareness, attitudes, preferences, and barriers among undergraduate medicine and nursing students at Makerere University, Uganda. Journal of Medical Education and Curricular Devel-opment. 2020; 7: doi: 10.1177/2382120520973212

Sahu P. Closure of universities due to coronavirus disease 2019 (COVID-19): Impact on education and mental health of students and academic staff. Cureus. 2020; 12(4): e7541. doi: 10.7759/cu-reus.7541

Egielewa P, Idogho PO, Iyalomhe FO, Cirella GT. CO-VID-19 and digitized education: Analysis of online learning in Nigerian higher education. E-Learning and Digital Media. 2021; 20427530211022808. doi: 10.1177/20427530211022808

Adeoye I, Adanikin A, Adanikin A. COVID-19 and E-learning: Nigeria tertiary education system experience. 2020; 5(5): 28-31. Submit your article to this journal | https://openventio.org/submit-manuscript/

Francis MK, Wormington SV, Hulleman C. The costs of online learning: Examining differences in motivation and academic out-comes in online and face-to-face community college developmen-tal mathematics courses. Front Psychol. 2019; 10: 2054. doi: 10.3389/ fpsyg.2019.02054

Mahdy MA. The impact of COVID-19 pandemic on the aca-demic performance of veterinary medical students. Front Vet Sci. 2020; 7: 732. doi: 10.3389/fvets.2020.594261

Alsoud AR, Harasis AA. The impact of COVID-19 pandemic on student’s e-learning experience in Jordan. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16(5): 1404-1414. doi: 10.3390/jtaer16050079

Bączek M, Zagańczyk-Bączek M, Szpringer M, Jaroszyński A, Wożakowska-Kapłon B. Students’ perception of online learn-ing during the COVID-19 pandemic: A survey study of Polish medical students. Medicine. 2021; 100(7): e24821. doi: 10.1097/ MD.0000000000024821

Dube B. Rural online learning in the context of COVID 19 in South Africa: Evoking an inclusive education approach. Multidiscip. J. Educ. Res. 2020; 10(2): 135-157, 20200601.

Belay DG. COVID-19, Distance learning and educational in-equality in rural Ethiopia. Pedagogical Research. 2020; 5(4): 1-11. doi: 10.29333/pr/9133

Sintema EJ. E-learning and smart revision portal for Zambian primary and secondary school learners: A digitalized virtual class-room in the COVID-19 era and beyond. Aquademia. 2020; 4(2): ep20017. doi: 10.29333/aquademia/8253

Mudenda S, Mukosha M, Mwila C, Saleem Z, Kalungia AC, Munkombwe D, et al. Impact of the coronavirus disease on the mental health and physical activity of pharmacy students at the University of Zambia: A cross-sectional study. International Journal of Basic & Clinical Pharmacology. 2021; 10(4): 324. doi: 10.18203/2319- 2003.ijbcp20211010

Samsuri NN, Nadzri FA, Rom KBM. A study on the student's perspective on the effectiveness of using e-learning. Procedia-So-cial and Behavioral Sciences. 2014; 123: 139-144. doi: 10.1016/j.sb-spro.2014.01.1407

Mukhtar K, Javed K, Arooj M, Sethi A. Advantages, limita-tions and recommendations for online learning during COVID-19 pandemic era. Pak J Med Sci. 2020; 36(COVID19-S4): S27-S31. doi: 10.12669/pjms.36.COVID19-S4.2785

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Published

2025-05-09

How to Cite

Kennedy Mwila, Steward Mudenda, Martin Kampamba, Webrod Mufwambi, Enala S. Lufungulo, Margaret Phiri, & Christabel N. Hikaambo. (2025). Factors Influencing Rural Pharmacy Students’ Access to E-Learning in Zambia During the Coronavirus Disease 2019 Pandemic: A Qualitative Investigation. Epidemiology, 10(1), 20–29. Retrieved from https://openventio.us/index.php/EOJ/article/view/1682

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