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

<p>The first part of this paper examines the issues of interprofessional talent cultivation for theatrical performances and develops a model of interprofessional talent cultivation for theatrical performances based on the competency model. Secondly, to evaluate the effectiveness of the talent cultivation model, a quality evaluation index system is constructed. Then, the index weights are calculated by using the ordinal relationship analysis method in big data analysis, and the object element topology law is introduced to comprehensively evaluate the quality of talent cultivation. Finally, an empirical analysis was conducted to verify the effectiveness of the talent cultivation model and the evaluation system. The results show that the quality of professional teaching has the greatest influence on the cultivation of interdisciplinary talents in theatrical performance, with a weight of 0.3508, and the comprehensive correlation can effectively realize the ranking of the cultivation level of professional talents in theatrical performance. This shows that big data analysis in theater performance inter-specialty talent cultivation can provide effective data support for the development of university disciplines and help universities innovate and reform the theater performance specialty.</p>
</abstract>

The first part of this paper examines the issues of interprofessional talent cultivation for theatrical performances and develops a model of interprofessional talent cultivation for theatrical performances based on the competency model. Secondly, to evaluate the effectiveness of the talent cultivation model, a quality evaluation index system is constructed. Then, the index weights are calculated by using the ordinal relationship analysis method in big data analysis, and the object element topology law is introduced to comprehensively evaluate the quality of talent cultivation. Finally, an empirical analysis was conducted to verify the effectiveness of the talent cultivation model and the evaluation system. The results show that the quality of professional teaching has the greatest influence on the cultivation of interdisciplinary talents in theatrical performance, with a weight of 0.3508, and the comprehensive correlation can effectively realize the ranking of the cultivation level of professional talents in theatrical performance. This shows that big data analysis in theater performance inter-specialty talent cultivation can provide effective data support for the development of university disciplines and help universities innovate and reform the theater performance specialty.

Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis

Applied Mathematics and Nonlinear Sciences

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

The first part of this paper examines the issues of interprofessional talent cultivation for theatrical performances and develops a model of interprofessional...

Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis

Online veröffentlicht: 15. Nov. 2023

Seitenbereich: -

Eingereicht: 28. Nov. 2022

Akzeptiert: 26. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01151

Schlüsselwörter
Competency modeling, Ordinal relationship analysis, Object-element scalability law, Theater performance, Talent development

© 2023 Cong Zhang, published by Sciendo

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

Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis

Online veröffentlicht: 15. Nov. 2023

Seitenbereich: -

Eingereicht: 28. Nov. 2022

Akzeptiert: 26. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01151

SchlüsselwörterCompetency modeling, Ordinal relationship analysis, Object-element scalability law, Theater performance, Talent development

© 2023 Cong Zhang, published by Sciendo

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

Schlüsselwörter
Competency modeling, Ordinal relationship analysis, Object-element scalability law, Theater performance, Talent development