Towards Adaptive E-Learning among University Students: by Applying Technology Acceptance Model (TAM)
Mahdi M Alamri1, Waleed Mugahed Al-Rahmi2, Noraffandy Yahaya3, Ali Mugahed Al-Rahmi4, Hussein Abualrejal5, Akram M. Zeki6, Qusay Al-Maatouk7
1Mahdi M Alamri, Department of Education Technology, King Faisal University, Alahsa  Saudi Arabia.
2Waleed Mugahed Al-Rahmi, Department of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia, UTM Skudai, Johor, Malaysia.
3Noraffandy Yahaya, Department of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia, UTM Skudai, Johor, Malaysia.
4Ali Mugahed Al-Rahmi, Department of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia.
5Hussein Abualrejal, Department of Technology Management & Logistic, University Utara Malaysia, UUM Sintok, Kedah Darul Aman, Malaysia.
6Akram M. Zeki, Department of Information and Communication Technology, International Islamic University Malaysia, P.O Box Kuala Lumpur, Malaysia.
7Qusay Al-Maatouk, Department of Engineering, Computing and Technology, Asia Pacific University of Technology & Innovation APU, Technology Park Malaysia.
Manuscript received on 27 September 2019 | Revised Manuscript received on 09 November 2019 | Manuscript Published on 22 November 2019 | PP: 270-276 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F10430986S319/19©BEIESP | DOI: 10.35940/ijeat.F1043.0986S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: E-learning is a form of education that is increasingly being used in higher education in the developed world. The aim of the study was to evaluating students’ satisfaction of e-Learning. In this research, we apply and use the theory of technology acceptance model (TAM). We employ structural equation modelling (SEM) approach with SmartPLS software to investigate students’ adoption process. Findings indicates that the perceived ease of use, perceived usefulness and intention to use e-learning among university students have a positive impact and substantially associated with learning performance and learning satisfaction. The study concludes that university students in Malaysia have positive perceptions towards e-learning and intend to practice it for educational purposes.
Keywords: Structural Equation Modeling (SEM), E-Learning, University Students’, TAM.
Scope of the Article: e-Learning