FACTORS INFLUENCING THE USE OF E-LEARNING IN PUBLIC UNIVERSITIES IN KENYA
DOI:
https://doi.org/10.47672/ejt.44Keywords:
e-learning, public universities, usefulnessAbstract
Purpose: The purpose of the study was to determine the factors influencing the use of e-learning in Public Universities in Kenya.
Methodology: A descriptive survey design was used in finding out the factors influencing the use of e-learning in Public universities in Kenya. The Population of this study will be the 19,205 employees (Academic and non-Academic staff) in all public universities. The sample size was 96 employees. A questionnaire was the preferred data collection instrument for this study. Descriptive and inferential statistics were used.
Results: Results revealed perceived usefulness was important in explaining the use of e-learning. This is supported by a p value 0.000 which means that perceived usefulness is a statistically significant predictor of the use of e-learning. Results further revealed that such perceived ease of use is important in determining use of e-learning as demonstrated by a p value of 0.000. Analysis showed that supporting infrastructure is a key determinant in use of e-learning in Kenyan universities and this was supported by a correlation coefficient of 0.398
Unique contribution to theory, practice and policy: The universities should ensure that e-learning saves time compared to face to face learning. They should also be in such a position that ensures that e-Learning saves money compared to face to face learning for the students.
Downloads
References
Brown, R. A. (2009). Curriculum consonance and dissonance. Journal of Technology Education, 20(4).
Brown, T.H. (2003). The role of M-learning in Africa. Retrieved from http:// matheasy.webstarts.com /uploads /The_role_of_m-learning_in_the_future_of_e-learning_in_Africa.pdf
Friesen, N. (2009). Rethinking e-learning research. New York: Peter Lang. Funded by the Masie Center
Galagan, P. (2002). The-learning Revolution. In Woods, J .A. & Cortada, J. W. (Eds.). (2002). The 2002 ASTD Training and Performance Yearbook, 75-82. New York: McGraw-Hill.
Longworth, N. and Davis, W.K. (1996), Lifelong Learning, Kogan Page, London
Mahdizadeh, Biemans, Mulder (2007). Determining factors of the use of e-learning environments by university teachers. management school education: a theoretical view', MIS Quarterly ,vol.19, no.3, pp.265.
Mbogo G.G (2008). Determinants of employee dropout in corporate web-based learning and took a case study on Hilton Hotel Nairobi. Unpublished MBA Thesis. University of Nairobi
Mugo B. (2006) Key note Address. http://.elearning-africa.com/ pdf /div/ keynote_Beth_Mugo_Kenya.pdf
Mulwa, A.S, Kyalo, D.N., Mboroki, G. and Bowa O.(2012). The Influence of Human Resource Capacity on Readiness to Adopt E-learning in Secondary Schools in Kitui District, Kenya. The Africa Management Review. Department of Business Administration, School of Business, University of Nairobi.
Sang, G., Valcke, M., Braak, J. V., & Tondeur, J. (2009). Student teachers' thinking processes and ICT integration: Predictors of prospective teaching behavior with educational technology. Computers and Education Journal, 54(1), 103-112.
Trombley, K.B.and Lee, D (2002), "Web-based learning in corporations: who is using it and why, who is not and why not?", Journal of Educational Media, Vol. 27 No. 3, pp. 137-146
Webb, E., Jones, A., Barker, P. & Schaik, P. (2004). Using e-learning dialogues in higher education. Innovations in Education and Teaching International, 41(1), 93-103.
Downloads
Published
How to Cite
Issue
Section
License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
