Author(s)

Li Jin ¹

Affiliation(s)

¹ Lingnan Normal University, Guangdong, 524048, China

Corresponding Author

Li Jin

ABSTRACT

Due to significant individual differences among students, instrumental music learning in colleges and universities requires precise teaching support. With the aid of artificial intelligence technology, tools such as intelligent evaluation, content recommendation, and virtual performance can effectively enhance learning efficiency and musical expressiveness. Based on practical cases in higher education, this study explores the specific application effects of AI in tracking students’ learning paths and adapting teaching content. Results show that technical assistance significantly improves pitch accuracy, practice motivation, and the quality of personalized feedback, demonstrating broad prospects for promotion and in-depth application.

KEYWORDS

Instrumental Learning; Personalized Development; Intelligent Evaluation; Virtual Performance; Educational Technology

CITE THIS PAPER

Li Jin, An Analysis of the Role of Artificial Intelligence in the Personalized Development of Instrumental Music Learning in Colleges and Universities. Journal of Artificial Intelligence Practice (2025) Vol. 8: 149-154. DOI: http://dx.doi.org/10.23977/jaip.2025.080220.

REFERENCES

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[2] Zhang Yaqi. Innovation in the Teaching Model of Violin in Colleges under the New Media Era [J]. Contemporary Music, 2024, (09): 44-46.
[3] Sun Jing, Liu Wenyue. Research on the Informatization of Music Performance Teaching in Colleges [J]. Contemporary Music, 2024, (09): 68-70.
[4] Li Lin, Qi Xin. Innovation of College Piano Group Teaching under the Era of Artificial Intelligence [J]. China National Expo, 2022, (19): 65-68.
[5] Zhou Juanjuan, Li Li. AI + Creative Thinking Education: A New Model of Undergraduate Piano Education in Colleges [J]. Art Education, 2022, (02): 78-81.
[6] He Jiaqi. Application Paths of Piano Teaching in Colleges in the Era of Artificial Intelligence [J]. Contemporary Music, 2024, (04): 47-49.

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