Determinants of Student Satisfaction with Online Courses Delivered via Cloud-Based Platforms in Educational and Training Institutions, Chongqing, China
DOI:
https://doi.org/10.14456/shserj.2025.10Keywords:
Cloud-Based Online Courses, Course Content Quality, Perceived Usefulness, System Quality, SatisfactionAbstract
Purpose: This study aims to investigate the influencing factors that affect the students’ satisfaction cloud-based online courses of educational and training organizations among college students in Chongqing, China. Research design, data, and methodology: A quantitative approach was used, with a questionnaire as the instrument to collect the data. The target population is undergraduate students from Chongqing, China, who had some online learning experience. The content validity and reliability of the questionnaire were tested using the index of item-objective congruence (IOC) and pilot test (n=50). Confirmatory factor analysis (CFA) and structural equation model (SEM) were used to analyze the data, verify the model's goodness of fit, confirm the causal relationship between the variables, and conduct hypothesis testing. Results: Course content quality, perceived usefulness, system quality, and information quality significantly influence on satisfaction. In addition, perceived ease of use significantly influences perceived usefulness. Nevertheless, service quality has no significant influence on satisfaction. Conclusions: Perceived ease of use is the strongest predictor of direct response to college students' satisfaction. Course quality, perceived usefulness, system quality, information quality, and system quality are significantly driven by online courses. Therefore, this study suggests that online platform operators and university policymakers should focus on improving service quality, thereby increasing student satisfaction with online.
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