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University Students Intention to Use the Chaoxing Smart Learning Platform at Zhanjiang University of Science and Technology |
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| รหัสดีโอไอ | |
| Creator | Haoyun Liang |
| Title | University Students Intention to Use the Chaoxing Smart Learning Platform at Zhanjiang University of Science and Technology |
| Publisher | Assumption University Press |
| Publication Year | 2569 |
| Journal Title | Journal of Interdisciplinary Research |
| Journal Vol. | 11 |
| Journal No. | 1 |
| Page no. | 118-129 |
| Keyword | Chaoxing Smart Learning Platform, Behavioral Intention, UTAUT, TTF, Structural Equation Model |
| URL Website | https://assumptionjournal.au.edu/index.php/eJIR/article/view/9809 |
| Website title | JIR |
| ISSN | 2408-1906 |
| Abstract | Purpose: This study examines the effects of performance expectancy, effort expectancy, social influence, task-technology fit, and reputation on undergraduate students' behavioral intention to use the Chaoxing Smart Learning Platform, and the relationship between behavioral intention and use behavior. Research design, data and methodology: Using stratified random sampling, 450 valid questionnaires were collected. Data were analyzed through CFA and SEM. Results: The analysis revealed that effort expectancy (? = 0.169) had a significant influence on behavioral intention, while task-technology fit (? = 0.265) and reputation (? = 0.464) also significantly influenced behavioral intention, with reputation having the strongest effect. In contrast, performance expectancy (? = 0.034) and social influence (? = 0.004) did not exhibit statistically significant effects on behavioral intention. Conclusions: During the initial promotion phase of the platform at Zhanjiang University of Science and Technology, students' continued usage of the Platform is primarily driven by reputation, TTF, and EE, while SI plays no significant role, and PE does not show a notable promoting effect. It is recommended that platform operators and university administrators prioritize strengthening platform reputation, enhancing the alignment between platform functionalities and learning tasks, and continuously optimizing the user experience to effectively foster students' sustained usage intention and actual behavior. |
