Effect of the Application of Electronic Learning System on Learning Effectiveness Amidst Coronavirus Pandemic at University of Rwanda

Authors

  • Mugeni Marie Claire University of Kigali
  • Sikubwabo Cyprien University of Kigali

DOI:

https://doi.org/10.53819/81018102t3105

Abstract

With the COVID-19 pandemic outbreak, e-learning has become a mandatory component of all educational institutions worldwide, including schools, colleges, and universities. The abrupt transition from in-person to online learning has had a variety of effects on learning. The purpose of this study is to evaluate the "effect of the application of electronic learning system on learning effectiveness amidst coronavirus pandemic at University of Rwanda" using the College of Agriculture, Animal Sciences, and Veterinary Medicine (CAVM) as a case study. The study's goal was to assess the impact of electronic learning system resources on learning effectiveness in UR CAVM during the COVID-19 pandemic. It also had the following hypotheses: there is no relationship between the availability of electronic learning system resources and learning effectiveness in UR-CAVM during the COVID-19 pandemic. The researcher used a descriptive research design to interpret and analyses the data. The study population was 2161, with a sample size of 337 participants. Data was gathered using a structured questionnaire with five-point Likert scales. Quantitative data was examined using frequencies, percentages, standard deviations, means, and regression analysis. The study found that the use of electronic learning systems during COVID-19 had a significant impact on learning effectiveness at the University of Rwanda. This result was obtained through regression analysis using the software SPSS 21 Version. As a result, it was determined that the variable has a significant impact on learning effectiveness. Specifically, electronic learning systems were available during COVID-19 (p-value=0.000, β=1.291). According to the findings of this study, academicians require advanced skills, and universities should invest in capacity building in terms of technological packages for Open Distance eLearning (ODeL) pedagogical approaches, instruction design, and internet connectivity. It is recommended that training programs and ICT facilities for both students and lecturers be implemented to ensure an effective online learning experience. Parents should be mobilized about the importance of creating a technological environment at home for their children, because academic achievement is dependent on how parents assist students at home. Students require electronic devices that allow them to access e-learning.   

Keywords: Electronic, Learning System, Learning Effectiveness, Coronavirus Pandemic, University of Rwanda.

Author Biographies

Mugeni Marie Claire , University of Kigali

Student, Education management and administration, University of Kigali

Sikubwabo Cyprien, University of Kigali

Senior lecturer, Education management and administration, University of Kigali

References

Akbari, E., Eghtesad, S., & Simons, R. J. (2012). Students’ attitudes towards the use of social networks for learning the English language. Paper presented at International Conference on ICT for Language Learning, Retrieved from

Allen, I. Elaine, and Christopher A. Seaman. "Likert scales and data analyses." Quality

progress 40.7 (2007): 64-65.

Allen, J., Rowan, L., & Singh, P. (2020). Teaching and teacher education in the time of

COVID-19.

Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemics. Higher education studies, 10(3), 16-25.

Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2013). IT infrastructure services as a requirement for e-learning system success. Computers & Education, 69, 431-451.

Alabarch, P. G. (2005). Patterns in higher education development. American higher education in the twenty-first century: Social, political, and economic challenges, 2, 15-37.

Applebee, A. C., McShane, K., Sheely, S. D., & Ellis, R. A. (2005). Balancing act: How can universities recognise the scholarly nature of e-learning development for university teachers. In 22nd ASCILITE conference (Brisbane, Queensland). http://www. ascilite. org. au/conferences/brisbane05/blogs/proceedings/03_Applebee. pdf.

Applebee, A. C., McShane, K., Sheely, S. D., & Ellis, R. A. (2005). Balancing act: How can universities recognise the scholarly nature of e-learning development for university teachers. In 22nd ASCILITE conference (Brisbane, Queensland). http://www. ascilite. org. au/conferences/brisbane05/blogs/proceedings/03_Applebee. pdf. need for more e-learning space? The case of Nigeria. Proceeding ascilite Auckland.

Zee, S. C., Awa, H. O., Okoye, J. C., Emecheta, B. C., &Anazodo, R. O. (2013). Determinant factors of information communication technology (ICT) adoption by government‐owned universities in Nigeria: A qualitative approach. Journal of Enterprise Information Management.

Fjermestad, J., Hiltz, S. R., & Zhang, Y. (2005). Effectiveness for students: Comparisons of “in-seat” and ALN courses. Learning together online: Research on asynchronous learning networks, 39-80.

Garrison, D.R. (2009). Communities of inquiry in online learning. In Encyclopedia of Distance Learning, Second Edition. IGI Global.

Gerbic, P., & Maher, M. (2008). Collaborative self-study supporting new technology: The Makara e-portfolio project. Proceedings of ASCILITE Melbourne, 320-324.

Gung, S. O., & Ricketts, I. W. (2007). Facing the challenges of e‐learning initiatives in African universities. British Journal of Educational Technology, 38(5), 896-906.

Harriman, A., & Mtshali, N. G. (2018). Implementing e-learning in resource-constrained nursing education institutions in Rwanda. Research and Reviews: Journal of Nursing and Health Sciences, 4, 1-14.

Holley, D., & Oliver, M. (2010). Student engagement and blended learning: Portraits of risk. Computers & Education, 54(3), 693-700.

Crecy, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.

Laisure, A. R., Davis, L., &Thievon, S. L. (2000). Comparison of student outcomes and preferences in a traditional vs. world wide web-based baccalaureate nursing research course.

Lu, X., Zhao, G., & Jiang, J. (2012, August). Influential Factors of Blended Learning in Chinese Colleges: From the Perspective of Instructor’s Acceptance and Students’ Satisfaction. In International Conference on Hybrid Learning (pp. 186-197).

Springer, Berlin, Heidelberg. Maag, M. M. (2006). Nursing students' attitudes toward technology: a national study. Nurse educator, 31(3), 112-118.

Polanyi, O. N. (2018). Distance learning/e-learning conceptual level by business educators and business education students. Nigerian Journal of Business Education (NIGJBED), 3(1), 293-300.

Ølnes, S, Ubacht, J., & Janssen, M. (2017). Blockchain in government: Benefits and implications of distributed ledger technology for information sharing.

Porter, W. W., Graham, C. R., Bodily, R. G., & Sandberg, D. S. (2016). A qualitative analysis of institutional drivers and barriers to blended learning adoption in higher education. The internet and Higher education, 28, 17-27.

Swan, K., Shea, P., Richardson, J., Ice, P., Garrison, D.R., Cleveland-Innes, M., &Arbaugh, J.B. (2008). Validating a measurement tool of presence in online communities of inquiry. E-mentor, 2(24), 1-12.

Tshabalala, M., Ndeya-Ndereya, C., & van derMerwe, T. (2014). Implementing Blended Learning at a Developing University: Obstacles in the Way. Electronic Journal of E-learning, 12(1), 101-110.

UNESCO (2020). Learning through radio and Television in the time of COVID-19. Retrieved UNESCO Institute for Information Technologies in Education (2002). Information and Communication technologies usage in higher distance education in Sub-Saharan Africa: National and regional state-of-the-art and perspectives. Moscow: UNESCO Institute for Information Technologies in Education (IITE).

Van Jaarsveldt, L. C., & Wessels, J. S. (2015). Information technology competence in Undergraduate Public Administration curricula at South African universities. International Review of Administrative Sciences, 81(2), 412-429.

Zhao, J., McConnell, D., & Jiang, Y. (2009). Teachers' conceptions of e‐learning in Chinese Higher education: A phenomenographic analysis. Campus-Wide Information Systems.

Zhao, Y., Lei, J., Yan, B., Lai, C., & Tan, S. (2005). What makes the difference? A practical analysis of research on the effectiveness of distance education. Teachers College Record, 107(8), 1836-1884.

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Published

2024-10-08

How to Cite

Mugeni, M. C., & Sikubwabo, C. (2024). Effect of the Application of Electronic Learning System on Learning Effectiveness Amidst Coronavirus Pandemic at University of Rwanda. Journal of Information and Technology, 8(1), 121–132. https://doi.org/10.53819/81018102t3105

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