Innovation and entrepreneurship model of higher vocational college students based on probability theory statistics-Reference-Cited by-同舟云学术

Innovation and entrepreneurship model of higher vocational college students based on probability theory statistics

Published:2023-05-23 Issue:2 Volume:8 Page:1611-1620
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Li Weixuan¹,Nie Yuanyuan²,Tian Zhu²

Affiliation:

1. 1 School of Economics, Qinhuangdao Vocational and Technical College , Qinhuangdao , , China

2. 2 School of Mechanical and Electrical Engineering, Qinhuangdao Vocational and Technical College , Qinhuangdao , , China

Abstract

Abstract In order to understand the current achievements of vocational students' entrepreneurship, the author creates a model of university students' innovativeness and entrepreneurship. This study analyzes the quality requirements of stakeholders, such as schools and students, for higher education innovation and entrepreneurship education based on research and practical results obtained in Finland and abroad. With the help of probability theory statistics, the relevant indicators are classified, the innovation and entrepreneurship system of vocational educational institutions is built, and the evaluation standards for each indicator are presented. Based on this, the weight of each index is determined and the innovation and entrepreneurship education model of vocational colleges is built. Through the analysis of index scores and total scores at all levels of X Vocational and Technical College and J Vocational College, the total score for innovation and entrepreneurship education at X Vocational College is 3.307 and the total score for innovation and entrepreneurship is 3.307. The education of the J vocational and technical college is 2.743, so the applicability of the model is good.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.1.00122

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