Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v8i5.5477
Abstract
Generative artificial intelligence (generative AI) is permeating diverse areas of higher education, and higher music education is one of the areas where its effects are becoming visible. This paper reviews recent studies to describe how generative AI supports teaching and learning in university music settings and what ethical questions it raises. On the pedagogical side, the reviewed work points to personalized learning tools, new course designs that enable students to build and explore creative AI systems, and shifts in how music teachers and students view these tools. On the ethical side, the reviewed work points to concerns about academic integrity, authorship, copyright, bias in training data, over-reliance, and the risk that marketing language about "democratization" hides deeper problems. The paper brings these two sides together and suggests that careful course design, teacher preparation, and clear institutional guidance can help music programs deploy generative AI in a responsible way. The discussion is meant to benefit researchers in music education, educational technology and related fields.
Keywords
generative AI; higher music education; pedagogical innovation; ethics; academic integrity; personalized learning
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[3] Yee-King M, Fiorucci A, d'Inverno M. The pop song generator: designing an online course to teach collaborative, creative AI[PP/OL]. arXiv preprint arXiv: 2306.10069, 2023.
[4] He S, Ren Y. Exploring pre-service music teachers' acceptance of generative artificial intelligence: a PLS-SEM-ANN approach[J]. Frontiers in Psychology, 2025, 16: 1571279.
[5] Chan C K Y, Hu W. Students' voices on generative AI: Perceptions, benefits, and challenges in higher education[J]. International journal of educational technology in higher education, 2023, 20(1): 43.
[6] Wu F, Dang Y, Li M. A systematic review of responses, attitudes, and utilization behaviors on generative AI for teaching and learning in higher education[J]. Behavioral Sciences, 2025, 15(4): 467.
[7] Sáez-Velasco S, Alaguero-Rodríguez M, Delgado-Benito V, et al. Analysing the impact of generative AI in arts education: A cross-disciplinary perspective of educators and students in higher education[C]//Informatics. MDPI, 2024, 11(2): 37.
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[10] Wu C, Zhang H, Carroll J M. AI governance in higher education: Case studies of guidance at Big Ten universities[J]. Future Internet, 2024, 16(10): 354.
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