Main Article Content


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.


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

Article Details

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.


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