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<p>This paper first proposes the talent cultivation model of industry-academia integration on the basis of multiple intelligence theory and constructs the mathematical model of knowledge base expansion based on the three dimensions of coupling compatibility, interaction intensity and interaction time. Secondly, based on the knowledge transformation theory, it constructs the information and knowledge transformation model of industry-academia organizations and conducts the existence test of the Matthew effect. Finally, the tourism management major of University J as a research object is selected to analyze the operational development trend of the industry-academia integration talent cultivation model combined with multiple intelligences by analyzing the role relationship between system variables derived from the data. The results show that in 100 simulations, the coupling compatibility of the industry-academia fusion system of tourism management majors rises by 1.286 gradients for every 1.286 gradients, and the Matthew effect of the incremental knowledge of colleges and universities rises by one grade, indicating that the model, which has a more significant effect on the success rate of innovative talent cultivation in tourism management majors, has a more significant effect on the enhancement of the success rate of innovative talent cultivation.</p>
</abstract>

This paper first proposes the talent cultivation model of industry-academia integration on the basis of multiple intelligence theory and constructs the mathematical model of knowledge base expansion based on the three dimensions of coupling compatibility, interaction intensity and interaction time. Secondly, based on the knowledge transformation theory, it constructs the information and knowledge transformation model of industry-academia organizations and conducts the existence test of the Matthew effect. Finally, the tourism management major of University J as a research object is selected to analyze the operational development trend of the industry-academia integration talent cultivation model combined with multiple intelligences by analyzing the role relationship between system variables derived from the data. The results show that in 100 simulations, the coupling compatibility of the industry-academia fusion system of tourism management majors rises by 1.286 gradients for every 1.286 gradients, and the Matthew effect of the incremental knowledge of colleges and universities rises by one grade, indicating that the model, which has a more significant effect on the success rate of innovative talent cultivation in tourism management majors, has a more significant effect on the enhancement of the success rate of innovative talent cultivation.

Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory

Applied Mathematics and Nonlinear Sciences

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

This paper first proposes the talent cultivation model of industry-academia integration on the basis of multiple intelligence theory and constructs the...

Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory

Online veröffentlicht: 13. Dez. 2023

Seitenbereich: -

Eingereicht: 03. März 2023

Akzeptiert: 23. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01466

Schlüsselwörter
Multiple intelligence theory, Coupling compatibility, Knowledge transformation model, Matthew effect, Industry-academia integration

© 2023 Guanglu Tong, published by Sciendo

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

Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory

Online veröffentlicht: 13. Dez. 2023

Seitenbereich: -

Eingereicht: 03. März 2023

Akzeptiert: 23. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01466

SchlüsselwörterMultiple intelligence theory, Coupling compatibility, Knowledge transformation model, Matthew effect, Industry-academia integration

© 2023 Guanglu Tong, published by Sciendo

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

Schlüsselwörter
Multiple intelligence theory, Coupling compatibility, Knowledge transformation model, Matthew effect, Industry-academia integration