Factors Influencing the Re-Engineering of E-Learning in Teacher Training Colleges in Kenya
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© 2022 by IJCTT Journal
Volume-70 Issue-11
Year of Publication : 2022
Authors : Dorcas Chausiku Chitai, Yonah Etene, Leonard Wakoli
DOI :  10.14445/22312803/IJCTT-V70I11P101

How to Cite?

Dorcas Chausiku Chitai, Yonah Etene, Leonard Wakoli, "Factors Influencing the Re-Engineering of E-Learning in Teacher Training Colleges in Kenya," International Journal of Computer Trends and Technology, vol. 70, no. 10, pp. 1-7, 2022. Crossref, https://doi.org/10.14445/22312803/IJCTT-V70I11P101

Abstract
E-Learning Frameworks are helpful in gaining a better grasp of how technology, as well as pedagogy operate together. There exists, however, variations in e-learning framework usage. Teacher Training Institutions should do an extensive up-front study to assess their Learning preparedness to profit from e-learning. The purpose of this study was to assess-learning readiness in Teacher Training Colleges. The research objective was to assess factors influencing the re-engineering of E-Learning in Teacher Training Colleges. The study employed a descriptive research design. The sample size was 198 respondents selected using census sampling. Questionnaires and interview schedules were utilized in data gathering. Expert consultation was used in the validity test, whereas Cronbach`s alpha was used to test reliability. The data collected was examined utilizing descriptive plus inferential statistics. The findings were used to develop an e-learning framework for Teacher Training Colleges and would enhance e-Learning in teacher training. The findings show a significant statistical influence among content, technological, cultural and demographic factors and E-learning readiness in teacher training colleges in the Western Kenya region. Technology and content readiness were the variables most significant in determining the E-learning readiness in Teacher Training Colleges in the Western Kenya region.

Keywords
E-Learning, Framework, Assessment, Readiness, Public, Teacher, Colleges.

Reference

[1] Sandars, J, Cost-Effective E-Learning in Medical Education, Cost Effectiveness in Medical Education, CRC Press, pp. 40-47, 2021.
[2] Muganda, R. A, E-Learning Implementation: A Survey of University of Nairobi Academic Staff Attitudes and Readiness Towards ELearning, Unpublished MBA, School of Business, University of Nairobi, 2006.
[3] Wannemacher, K, Functional Differentiation of Incentives for E-Teaching At Universities, Current Developments in TechnologyAssisted Education, vol. 1, pp. 72-76, 2005.
[4] Omidinia, S., Masrom, M., and Selamat, H, “Review of E-Learning and ICT Infrastructure in Developing Countries (Case Study of Iran),” American Journal of Economics and Business Administration, vol. 3, no. 1, pp. 120-125, 2011, Crossref, http://dx.doi.org/10.3844/Ajebasp.2011.120.125
[5] Hill, J. R, “Overcoming Obstacles and Creating Connections: Community Building in Web-Based Learning Environments,” Journal of Computing in Higher Education, vol. 14, no. 1, pp. 67-86, 2002. Crossref, http://dx.doi.org/10.1007/BF02940951
[6] Omwenga, E.I., Waema, T. M. and Wagacha, P.W, " A Model for Introducing and Implementing E-Learning for Delivery of Educational Content Within the African Context,” African Journal of Science and Technology (AJST), vol. 5, no. 1, pp. 34-35, 2004. Crossref, http://dx.doi.org/10.4314/Ajst.V5i1.15317
[7] Annamma K, Puziah Y, Aini A, "Healthcare Academicians` Attitudes and Behavioural Intentions Towards E-Learning in A Private Healthcare University in Malaysia," SSRG International Journal of Nursing and Health Science, vol. 8, no. 2, pp. 26-32, 2022. Crossref, https://doi.org/10.14445/24547484/IJNHS-V8I2P106
[8] Aydin, C.H. and Tasci, D, “Measuring Readiness for Learning: Reflections From an Emerging Country,” Educational Technology & Society, vol. 8, no. 4, pp. 244-257, 2005.
[9] Hrto?ová, N., Kohout, J., Rohlíková, L., and Zounek, J, “Factors Influencing Acceptance of E-Learning By Teachers in the Czech Republic,” Computers in Human Behavior, vol. 51, pp. 873–879, 2015. Crossref, https://doi.org/10.1016/J.Chb.2014.11.018
[10] Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y., and Yeh, D, “What Drives a Successful E-Learning? An Empirical Investigation of the Critical Factors Influencing Learner Satisfaction,” Computers and Education, vol. 50, no. 4, pp. 1183–1202, 2008. Crossref, https://doi.org/10.1016/J.Compedu.2006.11.007
[11] Zamzami, I, “The Factors Influencing the Acceptance of Web-Based E-Learning System Among Academic Staffs of Saudi Arabia,” Future Computing and Informatics Journal, vol. 6, no. 2, pp. 111–123, 2021. Crossref, https://doi.org/10.54623/Fue.Fcij.6.2.5
[12] Friedrich, H. F., and Hron, A, Factors Influencing Pupils` Acceptance of an E-Learning System for Secondary Schools,” Journal of Educational Computing Research, vol. 42, no. 1, pp. 63–78, 2010. Crossref, https://doi.org/10.2190/EC.42.1.C
[13] Abdekhoda, M., Dehnad, A., Mirsaeed, S. J. G., and Gavgani, V. Z, “Factors Influencing the Adoption of E-Learning in Tabriz University of Medical Sciences,” Medical Journal of the Islamic Republic of Iran, vol. 30, no. 1, pp. 457, 2016.
[14] Ali, L., Asadi, M., Gaševi?, D., Jovanovi?, J., and Hatala, M, “ Factors Influencing Beliefs for Adoption of a Learning Analytics Tool: An Empirical Study,” Computers and Education, vol. 62, pp. 130–148, 2013. Crossref, https://doi.org/10.1016/j.compedu.2012.10.023
[15] Althunibat, A, “Determining the Factors Influencing Students` Intention to Use M-Learning in Jordan Higher Education,” Computers in Human Behavior, vol. 52, no. 6, pp. 65–71, 2015. Crossref, https://doi.org/10.1016/j.chb.2015.05.046
[16] Sannegadu, R., Seethiah, D., Dookhony-Ramphul, K., Gunesh, R., Seethiah, K., and Jugessur H, “Investigating the Factors Influencing Students` Intention to Adopt E-Learning in a Small Island Developing State (SIDS) Economy: Evidence From Mauritius,” Studies in Business and Economics, vol. 13, no. 3, pp. 135–160, 2018. Crossref, https://doi.org/10.2478/Sbe-2018-0040
[17] Fariborzi, E., and Bakar, K. Bt A, “ Factors Influencing the Effectiveness of Courses in Iranian University E-Learning Centers,” The International Journal of Technology, Knowledge and Society, vol. 6, no. 1, pp. 71–80, 2010. Crossref, https://doi.org/10.18848/1832- 3669/CGP/V06i01/56057
[18] Petit Dit Dariel, O., Wharrad, H., and Windle, R, “Exploring the Underlying Factors Influencing E-Learning Adoption in Nurse Education,” Journal of Advanced Nursing (John Wiley and Sons, Inc.), vol. 69, no. 6, pp. 1289–1300, 2012. Crossref, https://doi.org/10.1111/J.1365-2648.2012.06120.X
[19] Gupta, Y., Khan, F. M., and Agarwal, S, “Exploring Factors Influencing Mobile Learning in Higher Education - a Systematic Review,” International Journal of Interactive Mobile Technologies, vol. 15, no. 12, pp. 140–157, 2021. Crossref, https://doi.org/10.3991/ijim.v15i12.22503
[20] Dr.R.Surendiran, "Secure Software Framework for Process Improvement," SSRG International Journal of Computer Science and Engineering, vol. 3, no. 12, pp. 19-25, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSEV3I12P105
[21] Tien-Chen Chien, “Computer Self-Efficacy and Factors Influencing E-Learning Effectiveness,” European Journal of Training and Development, vol. 36, no. 7, pp. 670–686, 2012. Crossref, https://doi.org/10.1108/03090591211255539
[22] Upadhyaya, K. T., and Mallik, D, “E-Learning as a Socio-Technical System: an Insight into Factors Influencing its Effectiveness,” Business Perspectives and Research, vol. 2, no. 1, pp. 1–12, 2013. Crossref, https://doi.org/10.1177/2278533720130101
[23] Ashour, W. A, “The Factor Analysis in Determining the Most Important Factors Influencing Basra University Students` Reluctance to Electronic–Learning,” Journal of Qadisiyah Computer Science and Mathematics, vol. 12, no. 3, pp.15–26, 2020. Crossref, https://doi.org/10.29304/Jqcm.2020.12.3.707
[24] Ejdys, J, “Factors Influencing Satisfaction and Future Intention to Use E-Learning at the University Level,” Foresight and STI Governance, vol. 16, no. 2, pp. 52–64, 2022. Crossref, https://doi.org/10.17323/2500-2597.2022.2.52.64
[25] Adeshola, I., and Agoyi, M, “Examining Factors Influencing E-Learning Engagement Among University Students During Covid-19 Pandemic: a Mediating Role of "Learning Persistence”, ” Interactive Learning Environments, 1–28, 2022. Crossref, https://doi.org/10.1080/10494820.2022.2029493
[26] Mutisya, D. and Makokha, G, “Challenges Affecting Adoption ofc E-Learning in Public Universities in Kenya,” E-Learning and Digital Media, vol. 13, no. (3–4), pp. 140–157, 2016. Crossref, https://doi.org/10.1177/2042753016672902
[27] Foust Chapman, B., and Heath-Camp, B, “Factors Influencing the Computer Technology Adoption Rate of Business Teacher Educators,” Business Education Digest, no. 14, pp. 15–30, pp. 16, 2005