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Influencers of the Postgraduate Students Continuance Intention to Use E-learning at a Public University in Chengdu, China |
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| รหัสดีโอไอ | |
| Creator | Yanjing Wang |
| Title | Influencers of the Postgraduate Students Continuance Intention to Use E-learning at a Public University in Chengdu, China |
| Publisher | Assumption University Press |
| Publication Year | 2567 |
| Journal Title | The Scholar: Human Sciences |
| Journal Vol. | 16 |
| Journal No. | 2 |
| Page no. | 194-203 |
| Keyword | E-Learning, Service Quality, Information Quality, Satisfaction, Continuance Intention |
| URL Website | http://www.assumptionjournal.au.edu/index.php/Scholar/article/view/7426 |
| Website title | The Scholar: Human Sciences |
| ISSN | 2586-9388 |
| Abstract | Purpose: This study investigates how students intend to continue using e-learning at a public university in Chengdu, China. The conceptual framework of the study was built using the Technology Acceptance Model (TAM), the Information System Success Model (ISSM), and the Expectation-Confirmation Model (ECM). Computer self-efficacy, system quality, information quality, service quality, perceived usefulness, satisfaction, and continuance intention were examined their effects on continuance intention to use the e-learning platforms. Research design, data, and methodology: The data were collected from 492 postgraduate students from Xihua University. The researcher used a quantitative survey approach by distributing online questionnaires. The index of item-objective congruence (IOC) was applied and a pilot test (n=50) were conducted to evaluate the reliability using Cronbach's Alpha coefficient. Confirmatory factor analysis and structural equation modeling were employed in this study as statistical analysis tools to assess the data, the validity, reliability, factor loadings, and the path coefficient. Results: The data analysis showed that perceived usefulness had the strongest direct influence on continuance intention, consistent with the entire hypothesis. Conclusions: Administrators and educators should closely examine the variables influencing students intention to use e-learning platforms. They should think about improving relevant teaching strategies going forward based on the findings of this study. |
