Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory
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....
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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.2023.2.01466 |
| _version_ | 1797340566621519872 |
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| author | Tong Guanglu |
| author_facet | Tong Guanglu |
| author_sort | Tong Guanglu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:04:54Z |
| format | Article |
| id | doaj.art-a8fa4266ff7f4a8db5d982ff94ae724e |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:04:54Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-a8fa4266ff7f4a8db5d982ff94ae724e2024-01-29T08:52:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01466Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences TheoryTong Guanglu01College of Marxism, Hefei University, Hefei, Anhui, 230601, China.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.https://doi.org/10.2478/amns.2023.2.01466multiple intelligence theorycoupling compatibilityknowledge transformation modelmatthew effectindustry-academia integration00a71 |
| spellingShingle | Tong Guanglu Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory Applied Mathematics and Nonlinear Sciences multiple intelligence theory coupling compatibility knowledge transformation model matthew effect industry-academia integration 00a71 |
| title | Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory |
| title_full | Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory |
| title_fullStr | Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory |
| title_full_unstemmed | Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory |
| title_short | Optimization of Innovative Talent Cultivation Mode of Tourism Management Major Combined with Multiple Intelligences Theory |
| title_sort | optimization of innovative talent cultivation mode of tourism management major combined with multiple intelligences theory |
| topic | multiple intelligence theory coupling compatibility knowledge transformation model matthew effect industry-academia integration 00a71 |
| url | https://doi.org/10.2478/amns.2023.2.01466 |
| work_keys_str_mv | AT tongguanglu optimizationofinnovativetalentcultivationmodeoftourismmanagementmajorcombinedwithmultipleintelligencestheory |