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

<p>This paper proposes that the synergistic mechanism promotes the vocational education innovation system to transition from the primitive low-level, ordered and relatively balanced stage to the high-level, ordered and fully synergistic stage. By analyzing the dynamic evolution process of the order parameter, a complex system with self-evolution capability is built, and the vocational education collaborative innovation model is constructed at three levels: macro, meso and micro. Finally, in carrying out the benefit distribution and arithmetic example analysis, the spillover effect of the synergistic subject is explored, and the optimal value is taken using the optimization model of synergistic development of higher vocational colleges and universities. The results show that when the quadratic term coefficient of innovation output is 0.086, the stabilization strategy is (0,1) or (1,0), and the multi-body innovation resources realize interaction stabilization without spillover or feedback effects. This study proposes the optimal path of innovation integration mechanism from the aspects of mechanism, mode and content, which can provide new ideas for the collaborative development of vocational education and enterprises.</p>
</abstract>

This paper proposes that the synergistic mechanism promotes the vocational education innovation system to transition from the primitive low-level, ordered and relatively balanced stage to the high-level, ordered and fully synergistic stage. By analyzing the dynamic evolution process of the order parameter, a complex system with self-evolution capability is built, and the vocational education collaborative innovation model is constructed at three levels: macro, meso and micro. Finally, in carrying out the benefit distribution and arithmetic example analysis, the spillover effect of the synergistic subject is explored, and the optimal value is taken using the optimization model of synergistic development of higher vocational colleges and universities. The results show that when the quadratic term coefficient of innovation output is 0.086, the stabilization strategy is (0,1) or (1,0), and the multi-body innovation resources realize interaction stabilization without spillover or feedback effects. This study proposes the optimal path of innovation integration mechanism from the aspects of mechanism, mode and content, which can provide new ideas for the collaborative development of vocational education and enterprises.

Research on the Synergistic Development and Operation Mechanism of Vocational Education and Innovative Development Concepts in the Context of Deep Learning

DEPARTMENT OF ECO-CULTURE AND ECO-TOURISM

Applied Mathematics and Nonlinear Sciences

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

This paper proposes that the synergistic mechanism promotes the vocational education innovation system to transition from the primitive low-level, ordered and...

Research on the Synergistic Development and Operation Mechanism of Vocational Education and Innovative Development Concepts in the Context of Deep Learning

Online veröffentlicht: 13. Dez. 2023

Seitenbereich: -

Eingereicht: 01. März 2023

Akzeptiert: 23. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01482

Schlüsselwörter
Ordinal covariates, Dynamic evolution, Spillover effects, Synergistic development optimization, Optimal generation values

© 2023 Qingshan Xiao, published by Sciendo

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

Research on the Synergistic Development and Operation Mechanism of Vocational Education and Innovative Development Concepts in the Context of Deep Learning

Online veröffentlicht: 13. Dez. 2023

Seitenbereich: -

Eingereicht: 01. März 2023

Akzeptiert: 23. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01482

SchlüsselwörterOrdinal covariates, Dynamic evolution, Spillover effects, Synergistic development optimization, Optimal generation values

© 2023 Qingshan Xiao, published by Sciendo

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

Schlüsselwörter
Ordinal covariates, Dynamic evolution, Spillover effects, Synergistic development optimization, Optimal generation values