A Quantitative Study on Factors Influencing College Students’ Satisfaction with Cloud-Based Online Courses in Chengdu, China
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Purpose: In the fierce market competition, education and training institutions seek to improve the satisfaction and perceived usefulness of cloud-based online courses to improve their survival and development. This study investigates the influencing factors of satisfaction with cloud-based online courses in Chengdu, China. Research design, Data, and methodology: The quantitative study will collect data through questionnaires from 503 undergraduate students with more than one year of experience in cloud-based online courses at a public university in Chengdu, China. The sampling methods are purposive, stratified random, and convenient. Before data collection, the index of item-objective congruence (IOC) and pilot test (n=50) were used to verify validity and reliability. The convergence validity and discriminant validity of the measurement model were evaluated by confirmatory factor analysis (CFA). The structural equation model (SEM) is used to test the influence of the measured variables, and the research conclusion is drawn. Results: Course content quality, perceived usefulness, system quality, information quality and service quality significantly influence on satisfaction. Moreover, perceived ease of use significantly influences perceived usefulness. Conclusions: Cloud-based online courses should be improved in the aspects of content quality, perceived usefulness, perceived ease of use, information quality, system quality, and service quality to improve satisfaction, and the market competitiveness.
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