COVID 19 and Higher Education Institution Operation: Unpacking the Potential of Higher Education through Acceptance of Online Learning

Authors

  • Alberto Ndekwa Ruaha Catholic University

DOI:

https://doi.org/10.47747/ijets.v1i1.491

Abstract

This paper focused on analyzing the acceptance of online learning for unpacking the potential of higher education during COVID 19 lock down. Quantitative data was collected using questionnaire to a total sample of 258 respondents of Ruaha Catholic University. Systematic Sampling was used to pick a sample of students and academic staff where questionnaire were used to collect data for statistical analysis. Documentary review was used to get data to support and interpret findings from surveyed questionnaire.

Data analysis using SEM revealed that usefulness and easiness of technology tend to influence the acceptance of using online learning method among students and academic staff of higher education. The significance influence of usefulness is explained by the fact that online learning is compatible to higher education environment which offer virtual learning and offer class to the students all the time while the easiness was found to be significant by the fact that online technology is ease to learn, ease to use and ease to access in higher education institution.

 It is concluded that for higher education community to accept online learning the technology should offer perceived benefit in terms of compatibility, virtual class, class should be available all the time and the technology should be simple and affordable. Addition, it is concluded that the technology should be ease to use, learn and access by community of higher education institution for them to accept it. This study recommends that the education institutions should design and implement the online learning system which is compatible, ease to use, ease to learn, ease to access and simple and affordable for every member of institution to unpack the COVID 19 Crisis. On the other hand, this paper recommends that training should  be conducted to higher education institution community in order to educate them and create the awareness of the usefulness and easiness of online learning for them to unpack the COVID 19 Crisis.

References

Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher Education Studies, 10(3), 16-25, doi:10.5539/hes.v10n3p16

Al-Adwan, A., Al-Adwan, A. & Smedley, J. (2013). Exploring students acceptance of e-learning using Technology Acceptance Model in Jordanian universities. International Journal of Education and Development using Information and Communication Technology, 9(2), 4-18.

Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238 - 256. doi:10.1016/j.chb.2015.11.036.

Al-alak, B. A., & Alnawas, I. A. M. (2011). Measuring the acceptance and adoption of e-learning by academic staff. Knowledge Management & E-Learning: An International Journal, 3(2), 201-220.

Budu, K.W. A., Yinping, M. & Mireku, K. K. (2018). Investigating the effect of Behavioral Intention on e-learning systems usage: Empirical study on tertiary education institutions in Ghana. Mediterranean Journal of Social Sciences, 9(3), 201- 216.

Baki, R., Birgoren, B. & Aktepe, A. (2018). A meta-analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4-42.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Davis, F.D., Bagozzi, R.P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.

Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22, DOI: 10.1177/0047239520934018

Hox, J .J & Bechger, T. M. (2012). An Introduction to Structural Equation Modeling. Family Science Review, 11(2), 354-373.

Hoe, S. L. (2008). Issues and procedures in adopting Structural Equation Modeling technique. Journal of Applied Quantitative Method, 3(8), 79-83.

Namisiko, P., Munialo, C. & Nyongesa, S. (2014). Towards an optimization framework for e-learning in developing countries: A case of private universities in Kenya. Journal of Computer Science and Information Technology, 2(2), 131-148.

Roopa, S., & Rani, M. S. (2012). Questionnaire designing for a survey. The Journal of Indian Orthodontic Society, 46(4), 273-277.

Shahzad, A., Hassan, R.· Aremu, A.Y.,· Hussain, A. & ·Lodhi, R. N. (2020). Effects of COVID‑19 in E‑learning on higher education institution students: The group comparison between male and female. Springer. https://doi.org/10.1007/s11135-020-01028-z

Saunders, M., Lewis, P., & Thornhill, A. (2012). Research methods for business students (6th ed.). England: Harlow Pearson Educational Limited.

Downloads

Published

2021-11-23

How to Cite

Ndekwa, A. (2021). COVID 19 and Higher Education Institution Operation: Unpacking the Potential of Higher Education through Acceptance of Online Learning. International Journal of Education, Teaching, and Social Sciences, 1(1), 48-58. https://doi.org/10.47747/ijets.v1i1.491

Issue

Section

Articles