INSTITUTIONAL FACTORS AFFECTING UPTAKE BLENDED LEARNING AMONG STUDENTS IN KENYA MEDICAL TRAINING COLLEGE

Authors

  • George Tibi Kenya Medical Training College
  • Bonareri Regina Kenya Medical Training College
  • Winstone Churchil Okumu Kenya Medical Training College
  • Kainde Musyoka Kenya Medical Training College
  • Candy Carol Anyango Kenya Medical Training College
  • Mr. Ben Mutiria Kenya Medical Training College

DOI:

https://doi.org/10.47941/ijhmnp.1065

Keywords:

Institutional Factors, Blended Learning, Students, Kenya Medical Training College

Abstract

Purpose: The objective was to determine the institutional factors affecting uptake blended learning among students in Kenya Medical Training College

Methodology: A cross-sectional descriptive study was done. In the KMTC campuses the average student population is thirty thousand (30,000). The research used simple random sampling in the selected campuses. The sample size was 384. Primary data was collected using questionnaires and Quantitative data was analyzed using descriptive statistics whereas qualitative data was analyzed using content analysis. Qualitative data was transformed into themes and analyzed with the helped of SPSS version 25. Collected data was edited, sorted, cleaned and coded for data analysis.

Findings: The study found that at 5% significance level, there is no association between student's awareness of the existence of WIFI within the campus to aid in e-learning and attending virtual classes, χ2 (1, N= 396) = 1.720, p = 0.190. At 5% level of significance, there is no association between the stability of the campus WIFI network and the percentage of attending virtual classes, χ2 (1, N= 230) = 18.408, p = .104

Unique contribution to Theory, Practice and Policy: The study recommends that the institutions should providing information communication and technological support to students on E learning platform. The study also recommends the government to support the transition to blended learning of Kenya Medical Training College through funding.

Downloads

Download data is not yet available.

References

Bliuc, A. G. (2007). Research focus and methodological choices in studies into. In Internet and Higher Education, 10, 31-244. E-Learning resources. (2012). Retrieved July 31, 2012 from http://www.grayharriman.com/blended_learning.htm

Cox M.J. (2010). The changing nature of researching information technology in education. In Researching IT in education: Theory, practice and future directions (Eds. A. McDougall, J. Murnane, A. Jones & N. Reynolds), pp. 11-24. Routledge: Taylor and Francis Group, Abingdon, England.

Hofmann, J. (2011). Soapbox: Top 10 challenges of blended learning. Retrieved July 31, 2012 fromhttp://www.trainingmag.com/article/soapbox-top-10-challenges-blended-learning

Kashorda, M., & Waema, T. (2014). E-Readiness survey of Kenyan Universities (2013) report. Nairobi: Kenya Education Network.

Oloo, L. M. (2009). Baseline survey report for ICT in secondary schools in selected parts of Kenya. Maseno.

Touray, A., Salminen, A. and Mursu, A. (2013). ICT barriers and critical success factors in developing countries. The Electronic Journal on Information Systems in Developing Countries, 56(7), 1-17

Vázquez-Cano, E.; León Urrutia, M.; Parra-González, M.E.; López Meneses, E. Analysis of Interpersonal Competences in the Use of ICT in the Spanish University Context. Sustainability 2020, 12, 476. [CrossRef]

Zake, J. (2009), Challenges to e-learning in developing communities of Africa. Available at: http://digitallearning.in (Accessed on August 28, 2013).

Downloads

Published

2022-10-13

How to Cite

Tibi, G., Regina, B., Okumu, W., Musyoka, K. ., Anyango, C., & Mutiria, B. (2022). INSTITUTIONAL FACTORS AFFECTING UPTAKE BLENDED LEARNING AMONG STUDENTS IN KENYA MEDICAL TRAINING COLLEGE. International Journal of Health, Medicine and Nursing Practice, 4(2), 73–81. https://doi.org/10.47941/ijhmnp.1065

Issue

Section

Articles