IJIET 2024 Vol.14(12): 1724-1733
doi: 10.18178/ijiet.2024.14.12.2203
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, and Reham A. Ali2
1. Faculty of Islamic Sciences, Prince of Songkla University, Pattani Campus, Pattani, Thailand
2. Faculty of Computer Science and IT, Ahram Canadian University, Cairo, Egypt
Email: mohamed.so@psu.ac.th (M.S.); muhammadafeefee.a@psu.ac.th (M.A.); roflee543@gmail.com (M.R.W.); reham_akwah@yahoo.com (R.A.A.)
*Corresponding author
2. Faculty of Computer Science and IT, Ahram Canadian University, Cairo, Egypt
Email: mohamed.so@psu.ac.th (M.S.); muhammadafeefee.a@psu.ac.th (M.A.); roflee543@gmail.com (M.R.W.); reham_akwah@yahoo.com (R.A.A.)
*Corresponding author
Manuscript received June 13, 2024; revised August 21, 2024; accepted August 30, 2024; published December 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)
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).
Keywords—continuous intention, e-learning, technology acceptance model, self-determination theory, higher education, Partial Least Squares Structural Equation Modeling (PLS-SEM)
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.
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).