Determinants of Successful E-Learning Implementation in Higher Education Institutions

A Cross-Institutional Student Perspective from Southern Africa

Authors

DOI:

https://doi.org/10.31949/ijeir.v5i1.16595

Abstract

Infrastructural and digital inequalities continue to undermine the effectiveness of e-learning in developing regions, creating a gap between positive student perceptions and actual system usage. This study adopts a quantitative, user-centric approach to investigate the determinants of successful e-learning implementation in Higher Education Institutions (HEIs) in Southern Africa, with particular focus on the usage paradox—the divergence between high acceptance and low sustained use. A cross-sectional survey was conducted with 92 students from two contrasting institutions in South Africa and Mozambique. Data were collected באמצעות a 5-point Likert scale questionnaire and analysed using descriptive statistics and chi-square (χ²) tests. The findings reveal a pronounced usage paradox: while perceived educational value is very high (94.6%), regular system use remains low (48.9%). A statistically significant relationship was found between institutional context and perceived success (χ²(1, N = 92) = 6.55, p = .01, Cramér’s V = 0.27). Key barriers include limited internet access and high data costs, highlighting the central role of infrastructural constraints. The study contributes to the literature by demonstrating that, in resource-constrained contexts, facilitating conditions may act as antecedent constraints rather than moderating factors. The proposed Structural Veto Model (SVM) is presented as a conceptual framework to explain this dynamic. The findings underscore the need for HEIs to prioritise equitable access and strengthen institutional support to enable sustained e-learning engagement.

Keywords:

E-learning implementation, Facilitating conditions, Higher education institutions, Structural Veto Model, Usage paradox

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References

Abera, M., Bimenyimana, P. C., Abebe, S. M., Byungura, J. C., Ndikumana, R., & Jemal, M. W. (2025). Challenges of implementing e-learning in African universities: Experiences from Ethiopia and Rwanda. Education Policy Analysis Archives, 33. https://doi.org/10.14507/epaa.33.8772

Alford, S., & Teater, B. (2025). Quantitative research. In Handbook of Research Methods in Social Work (pp. 156–171). Edward Elgar Publishing. https://doi.org/10.4337/9781035310173.00023

Alshammari, S. H., & Alkhwaldi, A. F. (2025). An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies. Scientific Reports, 15(1), 342. https://doi.org/10.1038/s41598-024-83450-z

Alwerthan, T. A. (2025). Time efficiency as a mediator between institutional support and higher education student engagement during e-learning. PLOS ONE, 20(1), e0315420. https://doi.org/10.1371/journal.pone.0315420

Bashir, S., & Lapshun, A. L. (2025). E-learning future trends in higher education in the 2020s and beyond. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2024.2445331

Coe, R., Waring, M., Hedges, L. V., & Ashley, L. D. (Eds.). (2025). Research methods and methodologies in education. . SAGE Publications Limited.

Davis, F. D. (1989). Technology acceptance model: TAM. . Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption, 205(219), 1–33.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

Dritsas, E., & Trigka, M. (2025). Methodological and Technological Advancements in E-Learning. Information, 16(1), 56. https://doi.org/10.3390/info16010056

Hamzah, H. A., Abu Seman, M. S., & Ahmed, M. (2025). The impact of artificial intelligence in enhancing online learning platform effectiveness in higher education. Information Development, 41(3), 794–810. https://doi.org/10.1177/02666669251315842

Hinton, P. R. (2024). Statistics explained. Routledge.

Hu, J., & Xiao, W. (2025). What are the influencing factors of online learning engagement? A systematic literature review. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1542652

Idika, E. O., Obiagu, A. N., & Ibe, E. (2025). Exploring university lecturers’ mandatory e-learning attitudes, readiness and anxiety in Nigeria. Journal of Applied Research in Higher Education, 17(4), 1181–1195. https://doi.org/10.1108/JARHE-10-2023-0465

Johnson, Burke., & Christensen, L. B. . (2024). Educational research : quantitative, qualitative, and mixed approaches (7th ed). SAGE Publications, Inc.

Kaeane, N. L., & Molokomme, R. T. (2025). Navigating the new normal: Challenges in lecturers’ adaptation to online learning at a South African university of technology post-emergency remote teaching. Edelweiss Applied Science and Technology, 9(2), 590–602. https://doi.org/10.55214/25768484.v9i2.4541

Leavy, Patricia. (2023). Research design : quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches. The Guilford Press.

Martins, H. R., Manjate, J. L. S., & Tinga, I. F. R. C. (2024). Higher Education in Mozambique in the Post-pandemic: Lessons Learned and the Future of Education. In The Palgrave Handbook of Crisis Leadership in Higher Education (pp. 397–410). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54509-2_21

Mpungose, C. B. (2025). E-learning platforms at ODeL institutions of higher education: creating a real-world learning. Education and Information Technologies, 30(12), 17207–17223. https://doi.org/10.1007/s10639-025-13447-2

Omanyo, J. O., & Ndiege, J. R. A. (2025). E-learning and sustainability of higher education in Sub-Saharan Africa: a review and synthesis. International Journal of Sustainability in Higher Education, 26(7), 1594–1614. https://doi.org/10.1108/IJSHE-06-2023-0246

Oyenuga, M. O., Singh, R., Apata, S. B., Khan, S., & Kumar, V. (2025). Barriers to Technology Adoption in Developing Countries (pp. 213–225). https://doi.org/10.1007/978-3-031-92221-3_17

Parlakkiliç, A. (2025). E‐Learning Design Based on E‐Learning Readiness. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.12924

Rhongo, D. L., & da Piedade, B. (2024). E-Student in the Mozambican Context: An Analysis of Higher Education Students’ Challenges Regarding to E-learning Implementation (pp. 343–354). https://doi.org/10.1007/978-3-031-51979-6_36

Sadanala, G., Xu, X., He, H., Bueno-Vesga, J., & Li, S. (2025). Enhancing distance learning with virtual reality: investigating learners’ engagement and outcomes. Distance Education, 46(2), 225–252. https://doi.org/10.1080/01587919.2024.2351929

Shaikh, I. M., Tanakinjal, G. H., Amin, H., Noordin, K., & Shaikh, J. (2025). Students’ e-learning acceptance: empirical evidence from higher learning institutions. On the Horizon: The International Journal of Learning Futures, 33(1), 1–13. https://doi.org/10.1108/OTH-08-2022-0041

Shannaq, B. (2025). E-Learning Integration and Teaching Strategies to Enhance Knowledge Retention in Higher Education. Emerging Science Journal, 9(2), 829–850. https://doi.org/10.28991/ESJ-2025-09-02-017

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward A Unified View1. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Wienand, M., Wulfert, T., & Hoang, H. (2024). Design principles for e-learning platforms featuring higher-education students’ enterprise systems end-user training. Discover Education, 3(1), 82. https://doi.org/10.1007/s44217-024-00165-z

Zheng, H., Han, F., Huang, Y., Wu, Y., & Wu, X. (2025). Factors influencing behavioral intention to use e-learning in higher education during the COVID-19 pandemic: A meta-analytic review based on the UTAUT2 model. Education and Information Technologies, 30(9), 12015–12053. https://doi.org/10.1007/s10639-024-13299-2

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Published

2026-04-11

How to Cite

Halle, V. A., & Schlebusch, L. (2026). Determinants of Successful E-Learning Implementation in Higher Education Institutions: A Cross-Institutional Student Perspective from Southern Africa. International Journal of Educational Innovation and Research, 5(1), 44–55. https://doi.org/10.31949/ijeir.v5i1.16595

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