Proceedings of the
The Nineteenth International Conference on Computational Intelligence and Security (CIS 2023)
December 1 – 4, 2023, Haikou, China
A Model for Evaluating Undergraduates' Vocational Competence of New Business Education in China
1University Leadership Group, City College of Dongguan, China.
2School of Digital Economics, City College of Dongguan, China.
ABSTRACT
With the development of digital economy and internet, college talent training system needs to meet new thinking pattern and market demand. This paper, using influencing factor analysis method with big data thought, proposed a
model to evaluate vocational ability of college students based on six basic statistical hypotheses where the impact factors being in respects of school philosophy, curriculum structure, teaching group, school-enterprise joint training. Next, a multi-stage
questionnaire distributions and answers were conducted in order to collect data and explore effective training paths for improving college studentsī vocational ability. In addition, the proposed model could work well since there is no serious common
method bias among the modelī s variables by common method bias test and also, all the variables have significant positive correlation each other by correlation test. Finally, the empirical results were carried out which show all the involved factors have
effectively improved college students' vocational competence. Undoubtedly, this paper provides a theoretical basis for new construction of the commerce vocational ability cultivation system.
Keywords: Undergraduates,
Future work self-salience, Vocational competence, Statistical modelling, Empirical findings.
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1University Leadership Group, City College of Dongguan, China.
2School of Digital Economics, City College of Dongguan, China.
ABSTRACT
With the development of digital economy and internet, college talent training system needs to meet new thinking pattern and market demand. This paper, using influencing factor analysis method with big data thought, proposed a model to evaluate vocational ability of college students based on six basic statistical hypotheses where the impact factors being in respects of school philosophy, curriculum structure, teaching group, school-enterprise joint training. Next, a multi-stage questionnaire distributions and answers were conducted in order to collect data and explore effective training paths for improving college studentsī vocational ability. In addition, the proposed model could work well since there is no serious common method bias among the modelī s variables by common method bias test and also, all the variables have significant positive correlation each other by correlation test. Finally, the empirical results were carried out which show all the involved factors have effectively improved college students' vocational competence. Undoubtedly, this paper provides a theoretical basis for new construction of the commerce vocational ability cultivation system.
Keywords: Undergraduates, Future work self-salience, Vocational competence, Statistical modelling, Empirical findings.
Download PDF