EconPapers    
Economics at your fingertips  
 

The Application of Artificial Intelligence in Personalized Learning of Music in Junior High School

Chen Zhuo

Education Insights, 2026, vol. 3, issue 3, 32-38

Abstract: In recent years, artificial intelligence (AI) technology has shown rapid development and has been widely applied in the field of education, enhancing students' learning enthusiasm and facilitating the implementation of personalized teaching. This article analyzes the theoretical logic and value implications of AI-enabled personalized learning in junior high school music education. Focusing on the modular design and core competency orientation of the 2024 version of the junior high school music textbook published by Shanghai Education Press, it proposes strategies for the application of AI technology, aiming to provide theoretical support and practical reference for the smooth transformation towards personalized education in junior high school music.

Keywords: artificial intelligence; junior high school music; personalized learning; apply strategies (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://soapubs.com/index.php/EI/article/view/1486/1358 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:axf:eiaaaa:v:3:y:2026:i:3:p:32-38

Access Statistics for this article

More articles in Education Insights from Scientific Open Access Publishing
Bibliographic data for series maintained by Yuchi Liu ().

 
Page updated 2026-03-12
Handle: RePEc:axf:eiaaaa:v:3:y:2026:i:3:p:32-38