Empowering E-Learning Excellence: Unveiling the Influence of Outcome Expectation, Learning Motivation, and Self-Efficacy in the Industrial Era 4.0

Authors

  • Asim Masood Entrepreneurship Department, School of Business Management, Universiti Utara Malaysia, 06010 Sintok Kedah Darul Aman, Malaysia
  • Norria Zakaria Entrepreneurship Department, School of Business Management, Universiti Utara Malaysia, 06010 Sintok Kedah Darul Aman, Malaysia
  • Muhamad Ali Imran Kamarudin Entrepreneurship Department, School of Business Management, Universiti Utara Malaysia, 06010 Sintok Kedah Darul Aman, Malaysia

DOI:

https://doi.org/10.37934/araset.42.1.254264

Keywords:

Industry revolution 4.0, self-efficacy, learning motivation, outcome expectations, quality of online learning

Abstract

The advent of the 4th industrial revolution has fundamentally transformed various aspects of human life. The objective of this study was to examine the influence of learning motivation, outcome expectation, and self-efficacy on enhancing the quality of online learning in the context of the Fourth Industrial Revolution. The study population consisted of 250 individuals from the University of Engineering and Technology Taxila (UET) who were participating in the e-learning learning paradigm. Data was collected while using an online survey questionnaire. The data was run on Smart PLS 4.0 reveals that learning motivation, outcome expectation, and efficacy are important factors in assessing the level of education. In addition, it was found that self-efficacy played a role in mediating the impact of learning motivation on enhancing the quality of online learning. However, in other instances, self-efficacy have a significant effect on maximizing the influence on the quality of e-learning.

 

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Published

2024-03-28

How to Cite

Asim Masood, Norria Zakaria, & Muhamad Ali Imran Kamarudin. (2024). Empowering E-Learning Excellence: Unveiling the Influence of Outcome Expectation, Learning Motivation, and Self-Efficacy in the Industrial Era 4.0 . Journal of Advanced Research in Applied Sciences and Engineering Technology, 42(1), 254–264. https://doi.org/10.37934/araset.42.1.254264

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Articles