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.
In order to alleviate the increasing employment pressure of vocational college students, the current study is an attempt to explore the factors of entrepreneurial intention affecting vocational college students. The study investigates whether entrepreneurial self-efficacy and attitude mediate this relationship between creativity and entrepreneurial intentions using the theory of planned behavior (TPB). In particular, this research also examines whether risk propensity moderates the relationship. An empirical survey is conducted and a total of 500 valid questionnaires are collected through online platforms. The data is analyzed by employing Partial Least Squares Structural Equation Modeling and SPSS20.0. The results indicate that self-efficacy is the strongest antecedent of entrepreneurial intention. Social support is found to directly influence entrepreneurial intention significantly, while the direct effect of creativity on intention is very marginal. Moreover, the results of the mediation analysis show that the relationship between creativity and entrepreneurial intention is fully mediated by self-efficacy and attitude, while the effect of social support on entrepreneurial intention is partially mediated. Specifically, the moderation effect of risk propensity on the relationship between creativity and entrepreneurial intention is acknowledged. Concrete suggestions are proposed for vocational colleges and governments to promote students’ entrepreneurial intentions. Finally, implications for the findings are provided.
The purpose of this work is to investigate the major drivers behind the entrepreneurial intention (EI) of students from higher vocational colleges in China. Total 424 respondents participated in the survey questionnaire that measured their self-reported responses to five constructs (EI, entrepreneurial self-efficacy, emotional competencies, subjective norms, and entrepreneurial attitude). In addition to this, the equation modeling technique was used to perform the data analysis. The study results highlighted that both entrepreneurial self-efficacy and entrepreneurial attitudes serve as significant predictors of EI. Moreover, the entrepreneurial attitude was found to be a significant mediator of the EI and emotional competencies. Finally, a model invariance was established across the female and male student samples. As a result, this study has put forward some implications regarding the entrepreneurship education of the higher vocational students in China.
The objective of this research is to establish a better understanding of the current landscape of online learning research and development. Data were collected from the Web of Science (including SCI-EXPANDED, SSCI, and AHCI), which contains articles published from 2004 to 2022. A total of 25,382 pieces of data were collected. The data were visualized and analyzed using Citespace. The results show that the USA, China, and England are the main research countries in online learning; the Open University, Nanyang Technology University, and Monash University are the main research institutions; and Hwang Ggo-Jen, Huang Yueh-Min, and Chen Nian-Shing were the lead researchers. Major research topics in the field of online learning include MOOCs, flipped classrooms, COVID-19, computer-supported collaborative learning, the technology acceptance model, communities of inquiry, and distance learning. Meanwhile, each topic includes some classical literature. Computers & Education, Educational Technology Research and Development, the Internet, and Higher Education are three highly cited journals. Research hotspots mainly include three types of terms: student-related, learning-system-related, and teacher-related. Finally, we proposed further study ideas for future paths.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.