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Submitted
Oct 17, 2020
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Mar 25, 2022
Published
Apr 4, 2022
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Abstract

Due to the Covid-19 pandemic, the school campuses have stopped face-to-face lessons to reduce its outbreak among students and staff members. This study presents a conceptual framework to investigate the factors influencing the usage of e-Learning platform among students of higher education institutions and their e-Learning system as course delivery. These factors include technology infrastructure support, system quality, information effectiveness and the e-Learning. The current study applied the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT) and DeLone-McLean Model to explain the factors affecting e-Learning platform usage. This study has designed and proposed a theoretical framework based on information obtained from a newly developed questionnaire, which were distributed to two hundred and thirty (230) students from UI, LAUTECH, Ibadan poly and Okeogun poly located in Oyo State, Nigeria. This study involved students of these higher education institutions and the empirical data were analyzed using the Partial Least Squares Structural Equation Modelling. The findings revealed that technology infranstructure support, system quality and information effectiveness significantly influence the usage of e-Learning to enhance the service quality of higher education institutions among students. In this light, the outcomes of this study are useful for higher education insititutions adapting e-Learning to help them strategise future e-Learning portals to enhance their performance in different aspects, such as the Websites and multinational web-integration. It is worth noting that the theoretical background of this study is limited to TAM and DeLone-McLean, IDT and its scope is only limited to just four public institutions in Oyo state. 

Keywords

Covid-19 Technology Infrastructures Support Information Effectiveness E-Learning Course Delivery Higher Education Institutions

Article Details

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How to Cite
Adejare, Y. (2022). The impacts of integrated e-Learning system toward the challenges facing education sector during and post Covid-19 pandemic. Journal of E-Learning and Knowledge Society, 18(1), 34-44. https://doi.org/10.20368/1971-8829/1135385

References

  1. Adams, D., Sumintono, B., Mohamed, A., & Noor, N. S. M. (2018). E-Learning Readiness among Students of Diverse Backgrounds in a Leading Malaysian Higher Education Institution. Malaysian Journal of Learning and Instruction, 15(2), 227-256.
  2. Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in human behavior, 60, 97-111.
  3. Al-Rahmi, W. M., Alias, N., Othman, M. S., Alzahrani, A. I., Alfarraj, O., Saged, A. A., & Rahman, N. S. A. (2018). Use of e-learning by University students in Malaysian higher educational institutions: A case in Universiti Teknologi Malaysia. IEEE Access, 6, 14268-14276.
  4. Ali, M., Hossain, S. M., & Ahmed, T. (2018). Effectiveness of E-learning for university students: Evidence from Bangladesh. Asian Journal of Empirical Research, 8(10), 352-360.
  5. Al-Samarraie, H., Teng, B. K., Alzahrani, A. I., & Alalwan, N. (2018). E-learning continuance satisfaction in higher education: a unified perspective from instructors and students. Studies in Higher Education, 43(11), 2003-2019.
  6. Aremu, A. Y., Shahzad, A., & Hassan, S. (2019). The Empirical Evidence of Enterprise Resource Planning System Adoption and Implementation on Firm’s Performance Among Medium-sized Enterprises. Global Business Review, 0972150919849751.
  7. Aremu, A. Y., Shahzad, A., & Hassan, S. (2018). Determinants of Enterprise Resource Planning adoption on organizations’ performance among medium enterprises. LogForum, 14.
  8. Azeezat Adedigba covers the education and labour sectors for PREMIUM TIMES. March 19, 2020.
  9. Branchetti, L., Capone, R., & Rossi, M. L. (2021). Distance–Learning Goes Viral: Redefining the Teaching Boundaries in the Transformative Pedagogy Perspective. Journal of e-Learning and Knowledge Society, 17(2), 32-44.
  10. Capone, R., & Lepore, M. (2021). From Distance Learning to Integrated Digital Learning: A Fuzzy Cognitive Analysis Focused on Engagement, Motivation, and Participation During COVID-19 Pandemic. Technology, Knowledge and Learning, 1-31.
  11. Chahrour, M., Assi, S., Bejjani, M., Nasrallah, A. A., Salhab, H., Fares, M., & Khachfe, H. H. (2020). A bibliometric analysis of Covid-19 research activity: A call for increased output. Cureus, 12(3).
  12. Chan, M. C. E., Sabena, C., & Wagner, D. (2021). Mathematics education in a time of crisis-a viral pandemic. Educational Studies in Mathematics, 108(1), 1-13.
  13. Chopra, G., Madan, P., Jaisingh, P., & Bhaskar, P. (2019). Effectiveness of e-learning portal from students’ perspective. Interactive Technology and Smart Education.
  14. DeLone, W. H., & McLean, E. R. (2016). Information systems success measurement. Foundations and Trends® in Information Systems, 2(1), 1-116.
  15. Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734.
  16. El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743-763.
  17. Ehlers, U. D. (2020). Making Open Educational Practices real. The case of “The Grand Challenge 2020”. Journal of e-Learning and Knowledge Society, 16(4), 56-66.
  18. Eze, S. C., Chinedu-Eze, V. C., & Bello, A. O. (2018). The utilisation of e-learning facilities in the educational delivery system of Nigeria: a study of M-University. International Journal of Educational Technology in Higher Education, 15(1), 1-20.
  19. Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2019). IS success model in e-learning context based on students’ perceptions. Journal of Information systems education, 21(2), 4.
  20. Gonzalez, T., de la Rubia, M. A., Hincz, K. P., Comas-Lopez, M., Subirats, L., Fort, S., & Sacha, G. M. (2020). Influence of COVID-19 confinement in students performance in higher education. arXiv preprint arXiv:2004.09545.
  21. Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
  22. Ibrahim, M. I., Keat, O. Y., & Rani, S. H. B. A. (2017). Entrepreneurial Orientation, Technology Orientation and Small and Medium Enterprises Performance in Nigeria: Role of Government Support Policies. Journal of Business and Social Review in Emerging Economies, 3(1), 75-84.
  23. Jamerson, K., Josh, M., & Joshua, B. (2020). Student-Loan Debt Relief Offers Support to an Economy Battered by Coronavirus. Wall Street Journal, 99-96.
  24. Karp, P., & McGowan, M. (2020). Clear as mud: schools ask for online learning help as coronavirus policy confusion persists. The Guardian, 261-307.
  25. Liaw, S. S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers & education, 51(2), 864-873.
  26. Marchisio, M., Rabellino, S., & Sacchet, M. (2020). Start@ unito as Open Educational Practice in Higher Education. Journal of E-Learning and Knowledge Society. Vol. 16, No. 4 (2020), pp. 46 -55.
  27. Owusu-Fordjour, C., Koomson, C. K., & Hanson, D. (2020). THE IMPACT OF COVID-19 ON LEARNING-THE PERSPECTIVE OF THE GHANAIAN STUDENT. European Journal of Education Studies.
  28. Panyajamorn, T. (2019). Effectiveness of E-Learning Design in Thai Public Schools. Malaysian Journal of Learning and Instruction, 15(1), 1-34.
  29. Sawant, S. (2016). Essential E Learning Tools, Techniques and Open CourseWare for E Learners and Trainers. In Human Development and Interaction in the Age of Ubiquitous Technology (pp. 148-177). IGI Global.
  30. Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers & Education, 40(4), 343-360.
  31. Sekaran, U., & Bougie, R. (2010). Theoretical framework in theoretical framework and hypothesis development. Research methods for business: A skill building approach, 80, 13-25.
  32. Sfenrianto, S., Tantrisna, E., Akbar, H., & Wahyudi, M. (2018). E-Learning Effectiveness Analysis in Developing Countries: East Nusa Tenggara, Indonesia Perspective. Bulletin of Electrical Engineering and Informatics, 7(3), 417-424.
  33. Sharma, M., Gupta, R., & Acharya, P. (2020). Factors influencing cloud computing adoption for higher educational institutes in India: a fuzzy AHP approach. International Journal of Information Technology and Management, 19(2-3), 126-150.
  34. Sahu P (April 04, 2020) Closure of Universities Due to Coronavirus Disease 2019 (COVID-19): Impact on Education and Mental Health of Students and Academic Staff. Cureus 12(4): e7541. doi:10.7759/cureus.7541.
  35. Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & education, 50(4), 1183-1202.
  36. Spina, S., Marrazzo, F., Migliari, M., Stucchi, R., Sforza, A., & Fumagalli, R. (2020). The response of Milan's Emergency Medical System to the COVID-19 outbreak in Italy. The Lancet, 395(10227), e49-e50.
  37. Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia manufacturing, 22, 960-967.
  38. UNESCO. (2020, March 29). Retrieved from UNESCO web site: https://en.unesco.org/covid19/ education response.
  39. UNESCO. (2020, 3 23). COVID-19 Educational Disruption and Response. Retrieved from Google: http;//www.wikipedia.com.
  40. UNESCO. (2020). Half of world's student population not attending school: UNESCO launches global coalition to accelerate deployment of remote learning solutions. Paris: UNESCO.
  41. UNESCO. (2020, March 10). With one in five learners kept out of school, UNESCO mobilizes education ministers to face the COVID-19 crisis. Paris, France.
  42. Viner, R. M., Russell, S. J., Croker, H., Packer, J., Ward, J., Stansfield, C., & Booy, R. (2020). School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review. The Lancet Child & Adolescent Health.
  43. Xiang, Y. T., Yang, Y., Li, W., Zhang, L., Zhang, Q., Cheung, T., & Ng, C. H. (2020). Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. The Lancet Psychiatry, 7(3), 228-229.
  44. Zhang, C., Patras, P., & Haddadi, H. (2019). Deep learning in mobile and wireless networking: A survey. IEEE Communications Surveys & Tutorials, 21(3), 2224-2287.

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