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

<p>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.</p>
</abstract>

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.

Management path optimization of accordion music course education based on big data technology analysis

Applied Mathematics and Nonlinear Sciences

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

With the continuous development of information technology, especially the rapid development of big data technology, the coverage and effectiveness of...

Management path optimization of accordion music course education based on big data technology analysis

Online veröffentlicht: 22. Mai 2023

Seitenbereich: -

Eingereicht: 28. Juli 2022

Akzeptiert: 15. Nov. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00271

Schlüsselwörter
Big data, Intelligent management, Accordion course, Educational management, Survey and analysis

© 2023 Huiting Lu, published by Sciendo

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

Management path optimization of accordion music course education based on big data technology analysis

Online veröffentlicht: 22. Mai 2023

Seitenbereich: -

Eingereicht: 28. Juli 2022

Akzeptiert: 15. Nov. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00271

SchlüsselwörterBig data, Intelligent management, Accordion course, Educational management, Survey and analysis

© 2023 Huiting Lu, published by Sciendo

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

Schlüsselwörter
Big data, Intelligent management, Accordion course, Educational management, Survey and analysis