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Investigation on Satisfaction and Performance of Online Education Among Fine Arts Major Undergraduates in Chengdu Public Universities |
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| รหัสดีโอไอ | |
| Creator | Dalin Feng |
| Title | Investigation on Satisfaction and Performance of Online Education Among Fine Arts Major Undergraduates in Chengdu Public Universities |
| Contributor | Chaochu Xiang, Rawin Vongurai, Soonthorn Pibulcharoensit |
| Publisher | Assumption University Press |
| Publication Year | 2565 |
| Journal Title | AU-GSB e-Journal |
| Journal Vol. | 15 |
| Journal No. | 2 |
| Page no. | 169-177 |
| Keyword | Online Education, Compatibility, Task-Technology Fit, Satisfaction, Performance |
| URL Website | http://www.assumptionjournal.au.edu/index.php/AU-GSB/article/view/6696 |
| Website title | AU-GSB e-Journal |
| ISSN | 1906-3296 |
| Abstract | Purpose: This research investigates factors affecting satisfaction and performance of online education among undergraduate fine art students in three public universities in Chengdu; China. The variables include perceived usefulness; perceived ease of use; self-efficacy; task-technology fit; compatibility; satisfaction and performance. Research design; data; and methods: Through a quantitative research approach; questionnaires were distributed via online and offline channels to 500 target respondents. Judgmental; quota and convenience samplings were used to collect the data. The data previously examined by Item Objective Congruence (IOC) Index to confirm content validity; and by Cronbach's Alpha coefficient value to approve constructs' reliability in a pilot test of 30 participants. Statistical analysis involves confirmatory factor analysis (CFA) and structural equation model (SEM); including the test of factor loadings; validity; reliability and goodness of fit model. Results: The results showed that perceived ease of use significant affected satisfaction and perceived usefulness. The relationship between self-efficacy; perceived ease of use and perceived usefulness was supported. Compatibility and task-technology fit significantly affected student satisfaction. Furthermore; satisfaction is a predictor of performance. Conclusion: For online education providers; the system should be designed to be easy; useful; self-control; compatibility and task-fit to gain higher student satisfaction and performance |
