Semantic Scholar Open Access 2025 2 sitasi

Musical education and academic motivation in highly developed AI technology

ChunBo Zhang Yitong Li

Abstrak

ABSTRACT The integration of artificial intelligence (AI) into music education enhances student motivation and engagement. This study aims to determine the impact of Flowkey, an AI-based piano teaching app, on the academic motivation of piano students. The study involved two groups of music students recruited from several conservatories in China. One group used the Flowkey app to learn the piano, while the other received traditional instructions. The MUSIC Model of Academic Motivation Inventory was used as a data collection tool. The Flowkey group exhibited significant improvements in empowerment, usefulness, success, and interest compared to the control group. No significant difference in caring between the pre-test and post-test measurements was observed. Even though the use of Flowkey had a positive effect on specific constructs of motivation, the findings highlight the need for human interaction, which requires creating an emotionally supportive environment for students. The results unveil the potential of AI to enrich traditional teaching with a more engaging, personalized, and flexible learning experience. The study has practical implications for curriculum developers and educators as it sheds light on the benefits of integrating AI technologies into education.

Topik & Kata Kunci

Penulis (2)

C

ChunBo Zhang

Y

Yitong Li

Format Sitasi

Zhang, C., Li, Y. (2025). Musical education and academic motivation in highly developed AI technology. https://doi.org/10.1080/10494820.2025.2491624

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1080/10494820.2025.2491624
Akses
Open Access ✓