Management path optimization of accordion music course education based on big data technology analysis
With the continuous development of information technology, especially the rapid development of big data technology, the coverage and effectiveness of information application and dissemination have increased substantially. With the current innovation and development of music management education mode...
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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.2023.1.00271 |
| _version_ | 1797340854447243264 |
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| author | Lu Huiting |
| author_facet | Lu Huiting |
| author_sort | Lu Huiting |
| collection | DOAJ |
| description | With the continuous development of information technology, especially the rapid development of big data technology, the coverage and effectiveness of information application and dissemination have increased substantially. With the current innovation and development of music management education mode, the traditional accordion course management mode also changed, this paper makes full use of big data technology to optimize the accordion course education management path, mainly through the construction of an accordion score database and retrieval system, the closer the data mining algorithm calculation result is to 1, it means that the data mining result is more similar to the actual result. The experimental analysis result is equal to 1, which indicates that the data mining result of this study is similar to the actual result, which is conducive to the intelligent management under the analysis of big data technology for music course education, improving students’ learning interest and passion, improving the teaching quality of learning, and facilitating the teaching management work of university leaders. And it can be further based on the big data era, grasp the trend of the big data era, and understand the level, learning needs, and personal characteristics of students, analysis can be seen that accordion course education management based on big data can make different learning plans for different levels of students, which is conducive to improving management quality and efficiency at the data level. |
| first_indexed | 2024-03-08T10:09:25Z |
| format | Article |
| id | doaj.art-11a1d5a689794f18a0fc7fb505411ff3 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:09:25Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-11a1d5a689794f18a0fc7fb505411ff32024-01-29T08:52:27ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.1.00271Management path optimization of accordion music course education based on big data technology analysisLu Huiting01Guangxi Arts University, Nanning, Guangxi, 530022, ChinaWith the continuous development of information technology, especially the rapid development of big data technology, the coverage and effectiveness of information application and dissemination have increased substantially. With the current innovation and development of music management education mode, the traditional accordion course management mode also changed, this paper makes full use of big data technology to optimize the accordion course education management path, mainly through the construction of an accordion score database and retrieval system, the closer the data mining algorithm calculation result is to 1, it means that the data mining result is more similar to the actual result. The experimental analysis result is equal to 1, which indicates that the data mining result of this study is similar to the actual result, which is conducive to the intelligent management under the analysis of big data technology for music course education, improving students’ learning interest and passion, improving the teaching quality of learning, and facilitating the teaching management work of university leaders. And it can be further based on the big data era, grasp the trend of the big data era, and understand the level, learning needs, and personal characteristics of students, analysis can be seen that accordion course education management based on big data can make different learning plans for different levels of students, which is conducive to improving management quality and efficiency at the data level.https://doi.org/10.2478/amns.2023.1.00271big dataintelligent managementaccordion courseeducational managementsurvey and analysis68p15 |
| spellingShingle | Lu Huiting Management path optimization of accordion music course education based on big data technology analysis Applied Mathematics and Nonlinear Sciences big data intelligent management accordion course educational management survey and analysis 68p15 |
| title | Management path optimization of accordion music course education based on big data technology analysis |
| title_full | Management path optimization of accordion music course education based on big data technology analysis |
| title_fullStr | Management path optimization of accordion music course education based on big data technology analysis |
| title_full_unstemmed | Management path optimization of accordion music course education based on big data technology analysis |
| title_short | Management path optimization of accordion music course education based on big data technology analysis |
| title_sort | management path optimization of accordion music course education based on big data technology analysis |
| topic | big data intelligent management accordion course educational management survey and analysis 68p15 |
| url | https://doi.org/10.2478/amns.2023.1.00271 |
| work_keys_str_mv | AT luhuiting managementpathoptimizationofaccordionmusiccourseeducationbasedonbigdatatechnologyanalysis |