The Assessment of Student Satisfaction with Art and Design Online Course at Normal Universities in Hunan, China
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Purpose: In the 5G age, new information technology like artificial intelligence and big data greatly influenced online courses. This research examines the factors impacting user satisfaction with the art and designs online course at the normal universities in Hunan, China. The conceptual framework was constructed with commitment, self-efficacy, transformational leadership, service quality, satisfaction, and actual usage. Research design, data, and methodology: Sample data was collected from the art and design major of three typical normal universities in Hunan Province by using quantitative methods and a questionnaire as a tool before distributing the questionnaire, Item-Objective, and reliability. Data was analyzed by utilizing Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to validate the model’s goodness of fit and confirm the causal relationship among variables for hypothesis testing. Results: The results indicated that actual usage was the strongest factor that had a significant impact on student satisfaction, followed by commitment, self-efficacy, transformational leadership, and service quality. In addition, self-efficacy was directly related to actual usage. Conclusions: The conceptual framework proposed in this study had high reliability and validity. Art and design online courses should improve students’ cognitive levels, improve student satisfaction, and actual usage to strengthen the curriculum construction.
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