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Analysis of Undergraduate Students? Behavioral Intentions and Usage Behavior of Online Learning Platforms in Chengdu, Sichuan, China |
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| รหัสดีโอไอ | |
| Creator | Haiyan Xu |
| Title | Analysis of Undergraduate Students? Behavioral Intentions and Usage Behavior of Online Learning Platforms in Chengdu, Sichuan, China |
| Publisher | Assumption University Press |
| Publication Year | 2566 |
| Journal Title | The Scholar: Human Sciences |
| Journal Vol. | 15 |
| Journal No. | 2 |
| Page no. | 238-247 |
| Keyword | Online learning platform, Attitude, Behavior Intention, Use Behavior, Structural Equation Modeling |
| URL Website | http://www.assumptionjournal.au.edu/index.php/Scholar/article/view/7274/3904 |
| Website title | The Scholar: Human Sciences |
| ISSN | 2586-9388 |
| Abstract | Purpose: This study examines the factors affecting behavioral intention and usage behavior of online learning platforms among undergraduate students in Xihua University in Chengdu, Sichuan, China. A conceptual framework is developed through the Theory of Planned Behavior (TPB), the technology acceptance model (TAM) and its extended Model (TAM2), and the unified theory of technology acceptance and use (UTAUT). The researcher determines key variables which are social influence, perceived usefulness, perceived ease of use, attitudes, subjective norms, and perceived behavioral control behavioral intention and usage behavior. Research design, data, and methodology: The target population is 500 participants. The study applied quantitative method to distribute online questionnaires. The sampling method used are purposive and convenience sampling. The data were analyzed by Confirmation Factor Analysis (CFA) to test the validity and reliability. In addition, Structural Equation Modeling (SEM) model was used to evaluate the hypotheses. Results: The results showed that behavioral intention and use behavior were significantly influenced by social influence, perceived usefulness, perceived ease of use, attitudes, subjective norms, and perceived behavioral control. Conclusions: The findings imply that users? behavioral intentions are crucial to online learning adoption and suggests that platform designers should fully improve and upgrade online learning platform systems. |
