Students‟ Satisfaction of E-Learning using Decision Support Systems (DSS) 
Waleed Mugahed Al-Rahmi1, Alhuseen Omar Alsayed2, Nabil Hasan Al-kumaim3, Hussein Abualrejal4, Yousef Fazea5, Qusay Al-Maatouk6
1Waleed Mugahed Al-Rahmi, Faculty of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
2Alhuseen Omar Alsayed, Deanship of Scientific Research, King Abdulaziz University, Jeddah, Saudi Arabia
3Nabil Hasan Al-kumaim, Faculty of Technology Management and Technopreneurship, Universiti Teknikal Malaysia Melaka (UTeM) Melaka, Hang Tuah Jaya, Melaka, Malaysia
4Hussein Abualrejal, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
5Yousef Fazea, School of Computing, University Utara Malaysia, UUM Sintok, Kedah Darul Aman, Malaysia.
6Qusay Al-Maatouk, Faculty of Engineering, Computing and Technology, Asia Pacific University of Technology & Innovation (APU), Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 4640-4645 | Volume-8 Issue-4, November 2019. | Retrieval Number: B2530078219/2019©BEIESP | DOI: 10.35940/ijrte.B2530.118419
Open Access | Ethics and 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 (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recently, a rapidly increasing type of education that is mostly adopted by higher education in developed countries is known as E-learning. The aim of the research was to evaluating students’ satisfaction of e-Learning. In the current research, both the theory of technology acceptance model (TAM) and the method of employed structural equation modelling (SEM) with Smart PLS were used to examine the process of students’ adoption. It has been found that the learning satisfaction was positively influenced by the perceived ease of use (PEOU), perceived usefulness (PU) and intention to use (IU) as witnessed among university students. Significant and positive perceptions towards e-learning and intend to practice it by university students in Malaysia have been observed by this research.
Keywords: E-learning, students’ satisfaction, TAM, SEM, Decision Support Systems.
Scope of the Article: E-learning.