The Structural Equation Model of Willingness to Continue Using Online Education Platform Evidence from Chongqing City, China

Authors

  • Simiao Wang Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Thailand
  • Nutteera Phakdeephirot Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Thailand
  • Songyu Jiang Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Thailand

Keywords:

Online education, Continuous usage intention, Expectation confirmation model

Abstract

The objectives of this study are 1) to understand the basic characteristics of users of online education platforms, 2) based on the Technology Acceptance Model and the Information Technology Expectation Model, to identify factors influencing consumers’ continued use of online education and construct a structural equation model for the intention to continue using online education platforms, and 3) to provide relevant recommendations for online education platform operating companies. The research surveyed 283 valid participants from Chongqing. Through descriptive statistical analysis, reliability analysis, confirmatory factor analysis, and the construction of a structural equation model, the theoretical model developed in this study exhibits a good fit. All ten assumed paths in the model were confirmed. Content quality, perceived interactivity, intrinsic motivation, perceived usefulness, and perceived ease of use were found to impact users’ intention to continue using the platform. The study suggests that online education platforms should focus on maintaining high-quality course content and emphasize the development and application of cutting-edge technologies to improve user retention rates.

 

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Published

2023-10-11

How to Cite

Wang, S., Phakdeephirot, N., & Jiang, S. (2023). The Structural Equation Model of Willingness to Continue Using Online Education Platform Evidence from Chongqing City, China. Journal of Reproducible Research, 2(1), 189–194. Retrieved from https://journalrrsite.com/index.php/Myjrr/article/view/51

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