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Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach

Author

Listed:
  • Ahmad Samed Al-Adwan

    (Electronic Business and Commerce Department, Business School, Al-Ahliyya Amman University, Amman 19328, Jordan)

  • Nour Awni Albelbisi

    (Faculty of Education, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Omar Hujran

    (Department of Analytics in the Digital Era, College of Business and Economics, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

  • Waleed Mugahed Al-Rahmi

    (Self-Development Skills Department, College of Common First Year, King Saud University, Riyadh 11451, Saudi Arabia)

  • Ali Alkhalifah

    (Information Technology Department, College of Computer, Qassim University, Buraydah 52571, Saudi Arabia)

Abstract

In higher education learning, e-learning systems have become renowned tools worldwide. The evident importance of e-learning in higher education has resulted in a prenominal increase in the number of e-learning systems delivering various forms of services, especially when traditional education (face-to-face) was suddenly forced to move online due to the COVID-19 outbreak. Accordingly, assessing e-learning systems is pivotal in the interest of effective use and successful implementation. By relying on the related literature review, an extensive model is developed by integrating the information system success model (ISSM) and the technology acceptance model (TAM) to illustrate key factors that influence the success of e-learning systems. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 537 students from three private universities in Jordan. The findings demonstrate that quality factors, including instructor, technical system, support service, educational systems, and course content quality, have a direct positive influence on students’ satisfaction, perceived usefulness, and system use. Moreover, self-regulated learning negatively affects students’ satisfaction, perceived usefulness, and system use. Students’ satisfaction, perceived usefulness, and system use are key predictors of their academic performance. These findings provide e-learning stakeholders with important implications that guarantee the effective, successful use of e-learning that positively affects students’ learning.

Suggested Citation

  • Ahmad Samed Al-Adwan & Nour Awni Albelbisi & Omar Hujran & Waleed Mugahed Al-Rahmi & Ali Alkhalifah, 2021. "Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9453-:d:619797
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    References listed on IDEAS

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