The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation
This paper first determines the emotional, melodic, and structural characteristics through non-negative matrix decomposition and graph network theory to enhance students’ cognition and understanding of traditional music culture and to pass on and carry forward traditional music culture. Utilizing th...
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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.2023.2.00967 |
| _version_ | 1797340663027597312 |
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| author | Shi Hongqiang |
| author_facet | Shi Hongqiang |
| author_sort | Shi Hongqiang |
| collection | DOAJ |
| description | This paper first determines the emotional, melodic, and structural characteristics through non-negative matrix decomposition and graph network theory to enhance students’ cognition and understanding of traditional music culture and to pass on and carry forward traditional music culture. Utilizing the RBF algorithm to integrate the elements of traditional music culture characteristics into efficient music teaching, forming a one-piece interactive teaching method. Utilizing the large database module for teaching and deep learning of learners can create a good college vocal music teaching loop. The student interest rate in traditional instrumental music teaching classes under the proposed method is increased to 98.98%, providing a solid foundation for integrating college vocal music teaching and traditional music culture. |
| first_indexed | 2024-03-08T10:06:25Z |
| format | Article |
| id | doaj.art-15ebf53a1d994fd99c28fe2882f518f3 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:06:25Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-15ebf53a1d994fd99c28fe2882f518f32024-01-29T08:52:38ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00967The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data InformatisationShi Hongqiang01College of Vocal Opera, Department of Opera, Sichuan Conservatory of Music, Chengdu, Sichuan, 610021, China.This paper first determines the emotional, melodic, and structural characteristics through non-negative matrix decomposition and graph network theory to enhance students’ cognition and understanding of traditional music culture and to pass on and carry forward traditional music culture. Utilizing the RBF algorithm to integrate the elements of traditional music culture characteristics into efficient music teaching, forming a one-piece interactive teaching method. Utilizing the large database module for teaching and deep learning of learners can create a good college vocal music teaching loop. The student interest rate in traditional instrumental music teaching classes under the proposed method is increased to 98.98%, providing a solid foundation for integrating college vocal music teaching and traditional music culture.https://doi.org/10.2478/amns.2023.2.00967college vocal music teachingbig data moduletraditional music culturedeep learningrbf algorithm00a65 |
| spellingShingle | Shi Hongqiang The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation Applied Mathematics and Nonlinear Sciences college vocal music teaching big data module traditional music culture deep learning rbf algorithm 00a65 |
| title | The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation |
| title_full | The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation |
| title_fullStr | The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation |
| title_full_unstemmed | The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation |
| title_short | The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation |
| title_sort | integration strategy of vocal music teaching and traditional music culture in colleges and universities under the background of big data informatisation |
| topic | college vocal music teaching big data module traditional music culture deep learning rbf algorithm 00a65 |
| url | https://doi.org/10.2478/amns.2023.2.00967 |
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