AI-assisted feedback and reflection in vocal music training: effects on metacognition and singing performance
The significance of this study is its provision of an effective implementation framework for integrating AI and e-learning tools into music instructional practice. These technologies offer high-quality personalized feedback and foster deep reflective engagement, thereby supporting the metacognitive development process in music education contexts.
Authors
- Li Huang (ORCID: https://orcid.org/0000-0001-9548-3452)
- Xuerong Cui (ORCID: https://orcid.org/0000-0002-2326-9518)
- Ke Liu (ORCID: https://orcid.org/0000-0002-2301-2309)
- Pravina Manoharan (ORCID: https://orcid.org/0000-0001-6864-7415)
- Lu Dai (ORCID: https://orcid.org/0000-0001-8587-7116)
- Wen Li (ORCID: https://orcid.org/0000-0002-3200-583X)
Institutions
- Universiti Sains Malaysia (MY)
- China Conservatory (CN)
- Aba Teachers University (CN)
- SEGi University (MY)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2025-08-18
- DOI
- https://doi.org/10.3389/fpsyg.2025.1598867
- Citations
- 3
- Primary Topic
- Diverse Music Education Insights
- Type
- article
- Field-Weighted Citation Impact
- 57.09