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Jan 9, 2022
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Aug 8, 2023
Published
Aug 28, 2023
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Abstract

Online learning is a flexible education environment in which instructions and learning activities are delivered through the internet. This quantitative research study seeks to explore students’ readiness to continue employing e-Learning whilst also measuring students’ satisfaction with the e-Learning platform/system among higher education students in a Middle Eastern country, United Arab Emirates (UAE). Furthermore, the paper discovers the factors that predict students’ intention to continue utilizing e-Learning in the future. Liaw’s model (2008) was employed to report students’ readiness, satisfaction with e-Learning system quality, multimedia integrated into instructions, interactive learning activities, and students’ intention to continue using online learning. A sample consisting of 476 higher education students from multiple backgrounds and different majors volunteered to take part in the study. Descriptive analysis and Multivariate analysis techniques including Correlation Coefficient, and Stepwise Linear Regression were chosen to achieve the study objectives. Data analysis demonstrated that higher education students showed a high readiness level (82%) towards e-Learning and were found with a medium satisfaction level (77%) with the e-Learning system that they are using. Moreover, students’ satisfaction with e-Learning, the e-Learning system quality, and students’ perceived usefulness were found to be significant contributors to students’ behavioral intention to keep on utilizing the e-Learning platform potentially. The findings recommend examining students’ readiness for e-Learning at the beginning of each semester before starting teaching to set up academic plans that promote the effectiveness of e-Learning.

Keywords

e-Learning Student Satisfaction Self-Efficacy e-System Quality

Article Details

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How to Cite
Moussa, N. (2023). Conceptualizing the future of e-Learning: examining students’ readiness, satisfaction, and intention to continue employing remote learning in higher education landscape. Journal of E-Learning and Knowledge Society, 19(2), 1-11. https://doi.org/10.20368/1971-8829/1135619

References

  1. Adnan, M., & Anwar, K. (2020). Online Learning amid the COVID-19 Pandemic: Students’ Perspectives. Online Submission, 2(1), 45-51. https://doi.org/10.33902/JPSP.2020261309
  2. Almanthari, A., Maulina, S., & Bruce, S. (2020). Secondary school mathematics teachers’ views on e-Learning implementation barriers during the COVID-19 pandemic: The case of Indonesia. Eurasia Journal of Mathematics, Science and Technology Education, 16(7), p.em1860.https://doi.org/10.29333/ejmste/8240
  3. Alsalman, A., Assi, L.N., Ghotbi, S., Ghahari, S., & Shubbar, A. (2021). Users, planners, and governments perspectives: A public survey on autonomous vehicles future advancements. Transportation Engineering, 3, p.100044.
  4. Ati, M., Guessoum, N., Demiray, L.V.U., Sahin, M.C., Kurubacak, G., Lounaskorpi, P.T., & Rao, S.R. (2010). E-Learning in United Arab Emirates. E-Learning practices. Cases on challenges facing e-Learning and national development: Institutional studies and practices, 2, pp.1009-1028.
  5. Bali, S., & Liu, M.C. (2018, November). Students’ perceptions toward online learning and face-to-face learning courses. In Journal of Physics: Conference Series, 1108 (1), p. 012094. IOP Publishing.
  6. Bawa’aneh, M.S. (2021). Distance Learning during COVID-19 Pandemic in UAE Public Schools: Student Satisfaction, Attitudes and Challenges. Contemporary Educational Technology, 13(3). https://doi.org/10.30935/cedtech/10872
  7. Dong, C., Cao, S., & Li, H. (2020). Young children’s online learning during COVID-19 pandemic: Chinese parents’ beliefs and attitudes. Children and youth services review, 118, p.105440.
  8. Elnour, A., Abou Hajal, A., Goaddar, R., Elsharkawy, N., Mousa, S., Dabbagh, N., & Sadeq, A. (2023). Exploring the pharmacy students’ perspectives on off-campus online learning experiences amid COVID-19 crises: A cross-sectional survey. Saudi Pharmaceutical Journal, 31(7), 1339-1350. https://doi.org/10.1016/j.jsps.2023.05.024
  9. Farmer, T., & West, R., 2019. Exploring the concerns of online K-12 teachers. Journal of online learning research, 5(1), 97-118.
  10. Fidalgo, P., Thormann, J., Kulyk, O., & Lencastre, J.A. (2020). Students’ perceptions on distance education: A multinational study. International Journal of Educational Technology in Higher Education, 17, 1-18. https://doi.org/10.1186/s41239-020-00194-2
  11. Fortune, M.F., Spielman, M., & Pangelinan, D.T. (2011). Students’ perceptions of online or face-to-face learning and social media in hospitality, recreation and tourism. MERLOT Journal of Online Learning and Teaching, 7(1).
  12. Garrison, D.R. (2011). E-Learning in the 21st century: A framework for research and practice. Routledge.
  13. Gilbert, S.W. (2000). A new vision worth working toward: Connected education and collaborative change. on-line] at http://www.tltgroup. org/images/gilbert/NewVWWT2000/^ NewVwwt2000--2-14-00.htm
  14. Hussein, E., Daoud, S., Alrabaiah, H., & Badawi, R. (2020). Exploring undergraduate students’ attitudes towards emergency online learning during COVID-19: A case from the UAE. Children and youth services review, 119, p.105699. https://doi.org/10.1016/j.childyouth.2020.105699
  15. Islam, M., Mazlan, N. H., Al Murshidi, G., Hoque, M, Karthiga, V., & Reza, M. (2023). UAE university students’ experiences of virtual classroom learning during Covid 19. Smart Learning Environments, 10(1), 5. https://doi.org/10.1186/s40561-023-00225-1
  16. Jogezai, N.A., Baloch, F.A., Jaffar, M., Shah, T., Khilji, G.K., & Bashir, S. (2021). Teachers’ attitudes towards social media (SM) use in online learning amid the COVID-19 pandemic: the effects of SM use by teachers and religious scholars during physical distancing. Heliyon, 7(4), p.e06781. https://doi.org/10.1016/j.heliyon.2021.e06781
  17. Liaw, S.S., & Huang, H.M. (2006, May). Developing a collaborative e-Learning system based on users’ perceptions. In International Conference on Computer Supported Cooperative Work in Design (pp. 751-759). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72863-4_76
  18. Liaw, S.S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-Learning: A case study of the Blackboard system. Computers and education, 51(2), 864-873. https://doi.org/10.1016/j.compedu.2007.09.005
  19. Liaw, S.S., Huang, H.M., & Chen, G.D. (2007). An activity-theoretical approach to investigate learners’ factors toward e-Learning systems. Computers in Human Behavior, 23(4), 1906-1920. https://doi.org/10.1016/j.chb.2006.02.002
  20. Linjawi, A.I., & Alfadda, L.S. (2018). Students’ perception, attitudes, and readiness toward online learning in dental education in Saudi Arabia: a cohort study. Advances in medical education and practice, 9, p.855. doi: 10.2147/AMEP.S175395
  21. Malkawi, E., Bawaneh, A.K., & Bawa’aneh, M.S. (2020). Campus Off, Education On: UAEU Students’ Satisfaction and Attitudes Towards E-Learning and Virtual Classes During COVID-19 Pandemic. Contemporary Educational Technology, 13(1), pp.ep283.. https://doi.org/10.30935/cedtech/8708
  22. Martin, F., Stamper, B., & Flowers, C. (2020). Examining Student Perception of Readiness for Online Learning: Importance and Confidence. Online Learning, 24(2), pp.38-58. https://doi.org/10.24059/olj.v24i2.2053
  23. McAndrew, M., & Johnston, A.E. (2012). The role of social media in dental education. Journal of dental education, 76(11), 1474-1481. https://doi.org/10.1002/j.0022-0337.2012.76.11.tb05409.x
  24. Muftahu, M. (2020). Higher education and Covid-19 pandemic: matters arising and the challenges of sustaining academic programs in developing African universities. International Journal of Educational Research Review, 5(4), 417-423. https://doi.org/10.24331/ijere.776470
  25. Nunnally, J.C. (1978). Psychometric Theory (2nd ed.). New York: McGraw-Hill. http://hdl.handle.net/123456789/11061
  26. Paechter, M., Maier, B., & Macher, D. (2010). Students’ expectations of, and experiences in e-Learning: Their relation to learning achievements and course satisfaction. Computers and Education, 54(1), 222-229. https://doi.org/10.1016/j.compedu.2009.08.005
  27. Peytcheva-Forsyth, R., Yovkova, B., & Aleksieva, L. (2018, December). Factors affecting students’ attitudes towards online learning-The case of Sofia University. In AIP conference proceedings (Vol. 2048, No. 1, p. 020025). AIP Publishing LLC. https://doi.org/10.1063/1.5082043
  28. Prensky, M. (2001). Digital natives, digital immigrants part 2: Do they really think differently?. On the horizon. DOI: 10.1108/10748120110424843
  29. Robinson, C.C., & Hullinger, H. (2008). New benchmarks in higher education: Student engagement in online learning. Journal of Education for Business, 84(2), 101-109. https://doi.org/10.3200/JOEB.84.2.101-109
  30. Rose, S. (2020). Medical student education in the time of COVID-19. Journal of American Medical Association, 323(21), 2131-2132. .https://doi.org/10.1001/jama.2020.5227
  31. Rouadi, N.E.,& Anouti, M.F. (2020). The online learning experiment in the intermediate and secondary schools in Lebanon during the coronavirus (COVID-19) crisis. Online learning, 7(7), 14466-14485.
  32. UAE gov (2021). Fact sheet. [online] available at: https://u.ae/en/about-the-uae/fact-sheethttps://u.ae/en/information-and-services/education/distance-Learning-in-times-of-covid-19 [Accessed 10 November 2021]
  33. Ullah, O., Khan, W., & Khan, A. (2017). Students’ attitude towards online learning at tertiary level. PUTAJ–Humanities and Social Sciences, 25(1-2), pp.63-82.
  34. Warner, D., Christie, G., & Choy, S. (1998). Readiness of VET clients for flexible delivery including on-line learning. Brisbane: Australian National Training Authority. http://hdl.voced.edu.au/10707/33256
  35. Wijaya, T.T., Zhou, Y., Purnama, A., & Hermita, N. (2020). Indonesian students’ learning attitude towards online learning during the coronavirus pandemic. Psychology, Evaluation, and Technology in Educational Research, 3(1), 17-25. http://petier.org/index.php/PETIER/article/view/56/27

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