Authors : Victor Kimutai; Violet Wawire; Peter Mugo Gathara

Volume/Issue : Volume 10 - 2025, Issue 11 - November

Google Scholar : https://tinyurl.com/f7kppe5z

Scribd : https://tinyurl.com/5n786b6a

DOI : https://doi.org/10.38124/ijisrt/25nov1441

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : Digitization of university education with innovation in ways and methodologies of teaching has gradually changed the way teachers teach. University lecturers have in the past underutilized e-learning platforms in day-to-day teaching due to insufficient ICT facilities, support and training. This study, therefore, aimed to explore the tech-savvy enablers of lecturers’ preparedness for quality teaching through e-learning platforms in selected universities in Kenya. The study's particular goal was to; establish trends in the utilization of e-learning platforms for quality teaching by university lecturers. The study was anchored on Unified Theory of Acceptance and Use of Technology (UTAUT). A descriptive survey design which employed mixed research methodology guided by the Scientific Method Approach methodology envisioned by Noah and Eckstein. This study targeted a population of 1251 lecturers in the selected universities in Kenya in which it obtained a sample of 125 university lecturers, 5 Deans of school, 1 acting dean of school, 2 deputy deans of school, 1 head of ICT, 1 representative of digital school dean and 1 representative of ICT directors. Simple random sampling was employed to obtain data from 103 lecturers drawn from different schools within the selected universities. Data was collected through the Google Document questionnaire that was shared through the lectures mails and in-person interviews were conducted on university administrators. The data obtained was cleaned, organized, processed and analysed quantitatively on Statistical Package for Social Sciences (SPSS) software whereas recorded interviews were transcribed and presented qualitatively in line with the study’s themes. The findings revealed that a majority of lecturers in University Y (92.8%) and University Z (65%) taught through e-learning platforms in their previous semester and more than three quarters of the lecturers in both universities preferred to teach from home. A majority in University Y (83.1%) and 80% in University Z utilized blended mode when teaching through the platforms and were highly motivated by the institutional policy on e-learning to teach through the platforms.

Keywords : E-learning Platforms, University Lecturers, Quality Teaching and Teaching Via E-learning Platforms.

References :

1. Alenezi, A. (2020). The role of e-learning materials in enhancing teaching and learning behaviors. International Journal of Information and Education Technology, 10(1), 48-56.
2. Aparicio, M., & Bacao, F. (2013, July). E-learning concept trends. In Proceedings of the 2013 International Conference on Information Systems and Design of Communication (pp. 81-86).
3. Bates, T. (2020). Crashing into online learning: A report from five continents—And some conclusions |Tony Bates. Available online: https://www.tonybates.ca/2020/04/26/crashing-into-online-learning-a-report-from-five-continents-and-some-conclusions/.
4. Bilyalova, A. A., Salimova, D. A., & Zelenina, T. I. (2019, May). Digital transformation in education. In International conference on integrated science (pp. 265-276). Springer, Cham.
5. Bozkurt, A., Akgun-Ozbek, E., Yilmazel, S., Erdogdu, E., Ucar, H., Guler, E., ... & Aydin, C. H. (2015). Trends in distance education research: A content analysis of journals 2009-2013. International Review of Research in Open and Distributed Learning, 16(1), 330-363.
6. Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273-290.
7. Gitau, M. W. (2016). Application of the utaut model to understand the factors influencing the use of web 2.0 tools in e-learning in kenyan public universities (Doctoral dissertation, University of Nairobi).
8. Ketlhoilwe, M. J. N. Silo, and K. Velempini. 2020. “Enhancing the Roles and Responsibilities of Higher Education Institutions in Implementing the Sustainable Development Goals.” In Sustainable Development Goals and Institutions of Higher Education, edited by G. Nhamo & V. Mjimba, 121–130. Cham: Springer International Publishing. doi:10.1007/978-3-030-26157-3_10.
9. 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.
10. Kombo, D. K., & Tromp, D. L. (2006). Proposal and thesis writing: An introduction. Nairobi: Paulines Publications Africa, 5(1), 814-30.
11. Kothari, C. (2017). Research Methodology Methods and Techniques by CR Kothari. Published by New Age International (P) Ltd.,Publishers,91.
12. Lima, M. M., Brito, G. L., & Caldeira, E. B. (2019). Preference of the Use of Moodle as a Learning. International Journal of Learning and Teaching, 5(4), 301-305.
13. Matthews, D. (2020). How will technology reshape the university by 2030. Times Higher Education. Retrieved June, 12.
14. Maurer, H., & Khan, M. S. (2010). Research trends in the field of e‐learning from 2003 to 2008: A scientometric and content analysis for selected journals and conferences using visualization. Interactive technology and smart education.
15. Mwangi, J. T. (2022). Classroom Use of Digital Resources in Teaching and Learning of English Language in Secondary Schools in Nyeri County, Kenya (Doctoral dissertation, School of Education, Kenyatta University).
16. Njenga, J. K., & Fourie, L. C. H. (2010). The myths about e‐learning in higher education. British journal of educational technology, 41(2), 199-212.
17. Shih, M., Feng, J., & Tsai, C. C. (2008). Research and trends in the field of e-learning from 2001 to 2005: A content analysis of cognitive studies in selected journals. Computers & education, 51(2), 955-967.
18. United Nations. (2015). Sustainable Development Goals. Department of Economic and Social Affairs. Retrieved  from https://www.un.org/development/desa/disabilities/envision2030-goal4.html
19. Valverde-Berrocoso, J., Garrido-Arroyo, M. D. C., Burgos-Videla, C., & Morales-Cevallos, M. B. (2020). Trends in educational research about e-learning: A systematic literature review (2009–2018). Sustainability, 12(12), 5153.
20. Zinn, K. L. (2000). Computer-assisted learning and teaching. In Encyclopedia of Computer Science (pp 328–336). Chichester, UK: John Wiley and Sons Ltd. Retrieved from: http://dl.acm.org/citation.cfm?id=1074100.1074248.