Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis
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 cultivati...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01151 |
| _version_ | 1797340645287788544 |
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| author | Zhang Cong |
| author_facet | Zhang Cong |
| author_sort | Zhang Cong |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:06:11Z |
| format | Article |
| id | doaj.art-dc79aec3b3ba467b8553716cdd221543 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:06:11Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-dc79aec3b3ba467b8553716cdd2215432024-01-29T08:52:39ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01151Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data AnalysisZhang Cong01Shanghai Institute of Visual Arts, Shanghai, 201600, China.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.https://doi.org/10.2478/amns.2023.2.01151competency modelingordinal relationship analysisobject-element scalability lawtheater performancetalent development68p15 |
| spellingShingle | Zhang Cong Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis Applied Mathematics and Nonlinear Sciences competency modeling ordinal relationship analysis object-element scalability law theater performance talent development 68p15 |
| title | Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis |
| title_full | Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis |
| title_fullStr | Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis |
| title_full_unstemmed | Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis |
| title_short | Interdisciplinary Talent Cultivation Model for Theatre Performance Based on Big Data Analysis |
| title_sort | interdisciplinary talent cultivation model for theatre performance based on big data analysis |
| topic | competency modeling ordinal relationship analysis object-element scalability law theater performance talent development 68p15 |
| url | https://doi.org/10.2478/amns.2023.2.01151 |
| work_keys_str_mv | AT zhangcong interdisciplinarytalentcultivationmodelfortheatreperformancebasedonbigdataanalysis |