Semantic Scholar Open Access 2023 47 sitasi

Artificial Intelligence in Music Education

Ping Li Bin Wang

Abstrak

Abstract Artificial Intelligence (AI) technology can reshape music education to enable students to learn musical instruments and compose music in a fun and easy way. This article examines the effectiveness of AI-enabled music teaching. The study seeks to incorporate AI-powered chatbots into piano classes in seven music schools and evaluate their effect on student performance. The results show that students who used the given app achieved better results than those enrolled in conventional classes. Overall, exploiting AI resulted in a 15% increase in academic performance, but the intensity of training led to variation in achievements. With this app, the scores increased as follows: piano playing by 6.51%; solfeggio and music literature by 4%; and vocal signing by 0.56%. The integration of chatbots in music education opens new developmental prospects. Based on the present findings, AI can be successfully integrated into music education.

Topik & Kata Kunci

Penulis (2)

P

Ping Li

B

Bin Wang

Format Sitasi

Li, P., Wang, B. (2023). Artificial Intelligence in Music Education. https://doi.org/10.1080/10447318.2023.2209984

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
47×
Sumber Database
Semantic Scholar
DOI
10.1080/10447318.2023.2209984
Akses
Open Access ✓