doi: 10.18178/ijiet.2024.14.12.2203
Predicting Continuous Intention to Use e-Learning Platforms among University Students: An Integrated Model
Mohamed Soliman1,*
,
Muhammadafeefee Assalihee1 ,
Muhammad R. Weahama1 ,
Reham A. Ali2
- 1Faculty of Islamic Sciences, Prince of Songkla University, Pattani Campus, Pattani, Thailand
- 2Faculty of Computer Science and IT, Ahram Canadian University, Cairo, Egypt
- Manuscript receivedJune 13, 2024
- revisedAugust 21, 2024
- acceptedAugust 30, 2024
- publishedDecember 13, 2024
Abstract
The current study explores Continuous Intention (CI) to use electronic learning (e-learning) as an educational tool among university students through the prism of a post-pandemic theoretical framework. Despite e-learning technology’s latest launch in academia, very little has been done to evaluate its effects. To examine what factors impact the continuous intention to use E-learning, this paper contemplates incorporating the Technology Acceptance Model (TAM) with Self-Determination Theory (SDT). University students were asked to fill out questionnaire forms that were designed to gather data for the proposed model. This study employed a linear Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The empirical results indicated that perceived usefulness and autonomy are significant predictors of the continued intention to use E-learning in the Thai context. Contrarily, the CI was unaffected by Perceived ease of use. Overall, theoretical and practical ramifications are addressed.
Keywords
- continuous intention
- e-learning
- technology acceptance model
- self-determination theory
- higher education
- Partial Least Squares Structural Equation Modeling (PLS-SEM)
How to Cite
Mohamed Soliman, Muhammadafeefee Assalihee, Muhammad R. Weahama, and Reham A. Ali, "Predicting Continuous Intention to Use e-Learning Platforms among University Students: An Integrated Model," International Journal of Information and Education Technology, vol. 14, no. 12, pp. 1724-1733, 2024. https://doi.org/10.18178/ijiet.2024.14.12.2203
Copyright & License
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).