<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Innovation and entrepreneurship are essential for higher vocational students to escape low-end employment and are vital for vocational education to provide diverse products and services, fulfilling the people’s demand for a better life. This study builds on the theory of innovation and entrepreneurship education, integrating information technology to devise the “Four-Drive-One-Guide” model for vocational colleges. Utilizing Province A as a case study, a survey was conducted to gather data on the effectiveness of this education model, analyzed using ANOVA, Pearson’s correlation coefficient, and multiple linear regression. Furthermore, the operational efficiency of innovation and entrepreneurship education across 30 Chinese regions was assessed using the CCR model within the DEA framework. Findings reveal that the “Four-Drive-One-Guide” model significantly boosts students’ innovative and entrepreneurial capabilities, with an average rating of 4.06. The most influential factor in its effectiveness is students’ attitudes, with a coefficient of 0.238. Moreover, vocational colleges in the eastern region exhibit the highest comprehensive efficiency at 0.875. The study suggests that integrating industry teaching and optimizing the curriculum can further enhance students’ innovative and entrepreneurial thinking.</p>
</abstract>

Innovation and entrepreneurship are essential for higher vocational students to escape low-end employment and are vital for vocational education to provide diverse products and services, fulfilling the people’s demand for a better life. This study builds on the theory of innovation and entrepreneurship education, integrating information technology to devise the “Four-Drive-One-Guide” model for vocational colleges. Utilizing Province A as a case study, a survey was conducted to gather data on the effectiveness of this education model, analyzed using ANOVA, Pearson’s correlation coefficient, and multiple linear regression. Furthermore, the operational efficiency of innovation and entrepreneurship education across 30 Chinese regions was assessed using the CCR model within the DEA framework. Findings reveal that the “Four-Drive-One-Guide” model significantly boosts students’ innovative and entrepreneurial capabilities, with an average rating of 4.06. The most influential factor in its effectiveness is students’ attitudes, with a coefficient of 0.238. Moreover, vocational colleges in the eastern region exhibit the highest comprehensive efficiency at 0.875. The study suggests that integrating industry teaching and optimizing the curriculum can further enhance students’ innovative and entrepreneurial thinking.

Informatization Exploration of Innovation and Entrepreneurship Education Mode in Vocational Colleges under the View of Industry-Teaching Integration

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovation and entrepreneurship are essential for higher vocational students to escape low-end employment and are vital for vocational education to provide...

Informatization Exploration of Innovation and Entrepreneurship Education Mode in Vocational Colleges under the View of Industry-Teaching Integration

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 02. Apr. 2024

Akzeptiert: 18. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0986

Schlüsselwörter
Analysis of variance, Correlation coefficient, Multiple regression, DEA model, CCR model, Innovation and entrepreneurship

© 2024 Chao Rong, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Informatization Exploration of Innovation and Entrepreneurship Education Mode in Vocational Colleges under the View of Industry-Teaching Integration

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 02. Apr. 2024

Akzeptiert: 18. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0986

SchlüsselwörterAnalysis of variance, Correlation coefficient, Multiple regression, DEA model, CCR model, Innovation and entrepreneurship

© 2024 Chao Rong, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Analysis of variance, Correlation coefficient, Multiple regression, DEA model, CCR model, Innovation and entrepreneurship