ArticleFrontiers in psychology2022
Factors influencing vocational college students' creativity in online learning during the COVID-19 pandemic: The group comparison between male and female.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Understanding continued use of smart learning platforms: psychological wellbeing in an extended TAM-ISCM model.Frontiers in psychology · 2025Article
- Exploring learner acceptance and experience in MOOCs among higher vocational students from a TAM perspective: a case study of college English course.Frontiers in psychology · 2025Article
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- What are the key drivers to promote continuance intention of undergraduates in online learning? A multi-perspective framework.Frontiers in psychology · 2023Article
- What are the key drivers to promote entrepreneurial intention of vocational college students? An empirical study based on structural equation modeling.Frontiers in psychology · 2022Article
- Antecedents of continuance intention in online learning systems among vocational college students: The moderating effect of gender.Frontiers in psychology · 2022Article
- Visualization analysis on the research topic and hotspot of online learning by using CiteSpace-Based on the Web of Science core collection (2004-2022).Frontiers in psychology · 2022Article
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2 authors.
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Abstract
The COVID-19 pandemic has forced higher education institutions to shift their teaching activities from traditional face-to-face to online learning. This brings a great challenge to the creativity training of vocational college students, who not only learn theoretical knowledge but also cultivate technical skills. Therefore, it is very important to explore the influencing factors of online learning on students' creativity during the epidemic. By relying on the related literature review, an extensive model is developed by integrating the expectation confirmation model (ECM), technology task fit model (TTF), and the technology acceptance model (TAM) to illustrate key factors that influence creativity. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 229 students from different vocational colleges in China. In addition, to extend the analysis results, this paper performs a comparative analysis based on gender. The findings demonstrate that perceived ease of use and perceived usefulness significantly influence knowledge sharing; knowledge sharing significantly affects creativity. However, there is no substantial relationship between perceived usefulness and attitude, and no relationship between attitude and knowledge sharing. Moreover, a multi-group comparison shows that there is a significant gender difference between perceived ease of use and attitude. Based on the findings, theoretical and practical implications are discussed.
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