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Factors Influencing Use Behavior of E-Learning Systems Among Junior Students Majoring in Arts at Higher Vocational Colleges in Henan, China |
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| รหัสดีโอไอ | |
| Creator | Qingguo Zhang |
| Title | Factors Influencing Use Behavior of E-Learning Systems Among Junior Students Majoring in Arts at Higher Vocational Colleges in Henan, China |
| Publisher | Assumption University Press |
| Publication Year | 2568 |
| Journal Title | AU-GSB e-Journal |
| Journal Vol. | 18 |
| Journal No. | 2 |
| Page no. | 01-13 |
| Keyword | Subjective Norm, Effort Expectancy, Perceived Usefulness, Behavioral Intention, Use Behavior |
| URL Website | https://assumptionjournal.au.edu/index.php/AU-GSB/article/view/7974 |
| Website title | https://assumptionjournal.au.edu/index.php/AU-GSB |
| ISSN | 1906-3296 |
| Abstract | Purpose: This research aims to investigate the factors influencing the use behavior of the e-learning system among junior students of arts majors in higher vocational colleges in Henan, China. The conceptual framework of the study includes subjective norm, effort expectancy, internet experience, e-learning motivation, perceived usefulness, behavioral intention, and use behavior. Research design, data, and methodology: The quantitative research method was used to distribute survey questionnaires to 500 junior students pursuing arts majors at a public higher vocational college in Henan, China. The initial assessment of the content validity and reliability in the research survey included using Item Objective Consistency and Cronbach's Alpha. Confirmatory Factor Analysis and Structural Equation Modeling were utilized to examine the data, verify the model fit, and establish causal relationships between variables. This procedure aimed to assess the hypotheses for both their reliability and validity. Results: The findings of the study suggest that the use behavior of e-learning systems among junior students majoring in arts at vocational colleges in Henan is significantly affected by subjective norm, effort expectancy, internet experience, e-learning motivation, perceived usefulness, and behavioral intention. Conclusions: This study contribute to better meeting student needs, improving user experience, and fostering active engagement and full utilization of e-learning systems. |
