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Determinants of Undergraduates Behavioral Intention Toward Online Learning: A Case Study in Sichuan China |
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| รหัสดีโอไอ | |
| Creator | Xiaoli Huang |
| Title | Determinants of Undergraduates Behavioral Intention Toward Online Learning: A Case Study in Sichuan China |
| Publisher | Assumption University Press |
| Publication Year | 2569 |
| Journal Title | AU-GSB e-Journal |
| Journal Vol. | 19 |
| Journal No. | 1 |
| Page no. | 14-28 |
| Keyword | Online Learning, Technology Anxiety, Perceived Usefulness, Social Influence, Behavioral Intention |
| URL Website | https://assumptionjournal.au.edu/index.php/AU-GSB/article/view/8679 |
| Website title | AU-GSB e-Journal |
| ISSN | 1906-3296 |
| Abstract | Purpose:?This paper aims to analyze the factors affecting the behavioral intentions of undergraduate students in Sichuan, China, towards adopting online learning. The study examined several key constructs to determine their impact on students? intentions to engage in online learning at universities in Sichuan. These constructs included Perceived Ease of Use (PEU), Perceived Enjoyment (PE), Technology Anxiety (TA), Compatibility (CP), Perceived Usefulness (PU), Social Influence (SI), and Behavioral Intention (BI).?Research design, data, and methodology:?Each factor was assessed to understand its significance in shaping students? online learning behavior. The researchers employed a questionnaire survey method and selected 500 participants from three target universities to distribute the quantitative questionnaire. A multistage sampling strategy was utilized in this survey to gather data from the respondents.?Results:?The data underwent rigorous analysis through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), methodologies that confirmed all hypotheses and effectively accomplished the study?s objectives. Among the various elements assessed, social influence was identified as the most significant direct determinant of behavioral intentions.?Conclusions:?University administrators and educators should consider the critical factors influencing online learning behaviors and make appropriate optimizations and adjustments accordingly to enhance students' acceptance of online education and effectively improve their capabilities through this learning mode. |
