E-learning in the digital era: How e-learning system quality shapes student satisfaction in public universities in Kenya
DOI :
https://doi.org/10.51867/AQSSR.3.2.43Mots-clés :
Higher Education, Online Education, Public Universities, Student Satisfaction, System QualityRésumé
This study examines the influence of e-learning system quality on student satisfaction in selected public universities in Kenya. Although the adoption of digital learning platforms following COVID-19 expanded in most universities, empirical evidence on the relationship between the quality of the e-learning system and student satisfaction remains underexplored. The Resource-Based View (RBV) theory and Information Systems Success (ISS) models guided the study. This paper employed a convergent parallel mixed-methods design. The study targeted 364,998 undergraduate fourth-year students, 2,031 deans, 20,771 lecturers, and 31 system administrators in six universities. A sample size of 446 participants—400 students, 20 deans, 20 lecturers, and 6 administrators—participated. The data were collected using questionnaires and interview guides and analyzed using descriptive, inferential, and thematic analysis. The findings revealed that e-learning system quality positively and significantly influences student satisfaction (B = 0.358, SE = 0.043, β = 0.415, t = 8.394, p = .001, p < .05, 2-tailed). This implies that a unit change in e-learning system quality is linked to a change of 0.358 units in student satisfaction. This paper recommends that universities invest in efficient assessment systems and education accessibility through digital inclusiveness in affordable data, mobile access, and offline collaborative user-friendly platforms.
Références
Akpen, C. N., Asaolu, S., Atobatele, S., Okagbue, H., & Sampson, S. (2024). Impact of online learning on student's performance and engagement: A systematic review. Discover Education, 3(1), 205. https://doi.org/10.1007/s44217-024-00253-0
Al Mulhem, A. (2020). Investigating the effects of quality factors and organizational factors on university students' satisfaction of e-learning system quality. Cogent Education, 7(1), 1787004. https://doi.org/10.1080/2331186X.2020.1787004
Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67-86. https://doi.org/10.1016/j.chb.2019.08.004
Ali, M., Puah, C.-H., Fatima, S., Hashmi, A., & Ashfaq, M. (2022). Student e-learning service quality, satisfaction, commitment and behaviour towards finance courses in COVID-19 pandemic. International Journal of Educational Management, 36(6), 892-907. https://doi.org/10.1108/IJEM-04-2021-0133
Banu, R., Shrivastava, P., & Salman, M. (2024). An empirical study of students' perceptive on e-learning systems success. The International Journal of Information and Learning Technology, 41(2), 130-143. https://doi.org/10.1108/IJILT-03-2023-0040
Benkhalfallah, F., Laouar, M. R., & Benkhalfallah, M. S. (2024). Examining Adaptive E-Learning Approaches to Enhance Learning and Individual Experiences. Acta Informatica Pragensia, 13(2), 327-339. https://doi.org/10.18267/j.aip.240
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
Encarnacion, R. F. E., Galang, A. A. D., & Hallar, B. J. A. (2021). The impact and effectiveness of e-learning on teaching and learning. Online Submission, 5(1), 383-397. http://doi:10.25147/ijcsr.2017.001.1.47
Gavrus, C., Petre, I. M., & Lupșa-Tătaru, D. A. (2025). The Role of e-Learning Platforms in a Sustainable Higher Education: A Cross-Continental Analysis of Impact and Utility. Sustainability (2071-1050), 17(7). https://doi.org/10.3390/su17073032
Hasani, L.M., Sensuse, D.I., Kautsarina, & Suryono, R.R. (2020). User-Centered Design of e-Learning User Interfaces: A Survey of the Practices. 2020 3rd International Conference on Computer and Informatics Engineering (IC2IE), 1-7.
https://doi.org/10.1109/IC2IE50715.2020.9274623
Huang, R., Tlili, A., Chang, T.-W., Zhang, X., Nascimbeni, F., & Burgos, D. (2020). Disrupted classes, undisrupted learning during COVID-19 outbreak in China: Application of open educational practices and resources. Smart Learning Environments, 7(1), 19. https://doi.org/10.1186/s40561-020-00125-8
Huang, Y., & Wang, S. (2023). How to motivate student engagement in emergency online learning? Evidence from the COVID-19 situation. Higher Education, 85(5), 1101-1123. https://doi.org/10.1007/s10734-022-00880-2
Islam, M. (2020). Data Analysis: Types, Process, Methods, Techniques and Tools. International Journal on Data Science and Technology. 6(1), 10-15. https://doi.org/10.11648/J.IJDST.20200601.12
Kenya National Bureau of Statistics. (2019). Kenya Population and Housing Census. KNBS.
Kibuku, R. N., Ochieng, D. O., & Wausi, A. N. (2020). e-Learning Challenges Faced by Universities in Kenya: A Literature Review. Electronic Journal of E-Learning, 18(2), pp150-161. http://DOI: 10.34190/EJEL.20.18.2.004
Klave, E., & Cane, R. (2024). Digital transformation of higher education: integrating multimedia systems into the study process. In Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference (Vol. 2, pp. 168-174). https://doi.org/10.17770/etr2024vol2.8017
Limbu, Y. B., & Pham, L. (2023). Impact of e-learning service quality on student satisfaction during the Covid-19 pandemic: A systematic review. Knowledge Management & E-Learning, 15(4), 523-538. https://doi.org/10.34105/j.kmel.2023.15.030
Mabotha, P. A. P., & Ngcamu, B. S. (2025). Digital Transformation in the Higher Education Sector: A Systematic Literature Review. Administrative Sciences, 16(1), 1. https://doi.org/10.3390/admsci16010001
Mbiuki, A.G., Mutegi, R.G., & Kalai, J.M. (2026). E-Learning Information Quality and Student Satisfaction in Kenyan Public Universities: A Mixed-Methods Investigation. International Journal of Learning, Teaching and Educational Research. https://doi.org/10.26803/ijlter.25.4.21
Ministry of Education. (MoE, 2025). Education Sector Report FY 2024/25 2026/27.Government of Kenya.
Mwaniki, E., Ireri, A., Chege, F., & Njihia, M. (2020). Obstacles to successful uptake of open distance and e-learning (ODEL) programmes: A case of Kenyatta University, Kenya. African Multidisciplinary Journal of Research (Special Issue), 12–22.
Nguyen, N.-T. (2021). A study on satisfaction of users towards learning management system at International University-Vietnam National University HCMC. Asia Pacific Management Review, 26(4), 186-196. https://doi.org/10.1016/j.apmrv.2021.02.001
Qazi, W., Raza, S. A., Khan, K. A., & Salam, J. (2021). Adoption of E-learning system in higher education environments: Evidence from modified UTAUT model. ASR: Chiang Mai University Journal of Social Sciences and Humanities, 7(1), 1-24. https://doi.org/10.12982/CMUJASR.2020.001
Rahman, M., Karim, M., & Islam, S. (2025). System quality and learner satisfaction in digital learning environments: Evidence from higher education institutions. Computers & Education, 208, 104998. https://doi.org/10.1016/j.compedu.2024.104998
Ramakgolo, M. A. (2024). The Role of E-Learning for Improved Teaching and Learning During the COVID-19 Pandemic in a Selected South African Institution of Higher Learning: [PhD Thesis, University of Johannesburg (South Africa)]. https://ujdigispace.uj.ac.za/
Sharif Nia, H., Marôco, J., She, L., Khoshnavay Fomani, F., Rahmatpour, P., Stepanovic Ilic, I., Mohammad Ibrahim, M., Muhammad Ibrahim, F., Narula, S., & Esposito, G. (2023). Student satisfaction and academic efficacy during online learning with the mediating effect of student engagement: A multi-country study. PLoS One, 18(10), e0285315. https://doi.org/10.1371/journal.pone.0285315
Uppal, M. A., Ali, S., & Gulliver, S. R. (2018). Factors determining e‐learning service quality. British Journal of Educational Technology, 49(3), 412-426. https://doi.org/10.1111/bjet.12552
Wu, M.-J., Zhao, K., & Fils-Aime, F. (2022). Response rates of online surveys in published research: A meta-analysis. Computers in Human Behavior Reports, 7, 100206. https://doi.org/10.1016/j.chbr.2022.100206
Yoon, H.J., Lee, J., Shin, H.R., & Kim, Y. (2024). A Study on the Relationship between Digital Literacy and Transfer-Assistive Robot Acceptance among Care Workers: The Mediating Effect of the Care Robot Use Self-Efficacy. The Journal of Korean Institute of Information Technology. http://DOI:10.14801/jkiit.2024.22.11.101
Zheng, H., Jiang, H., Wang, J.-L., & Liu, S.-H. (2021). The Determinants of student attitude toward e-learning academic achievement during the COVID-19 pandemic. International Journal of Distance Education Technologies (IJDET), 19(4), 37-53. https://orcid.org/0000-0001-9240-5600
Téléchargements
Publié
Numéro
Rubrique
Licence
© Annceta Mbiuki, Reuben Mutegi, Jeremiah Kalai (Author) 2026

Cette œuvre est sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale 4.0 International.












