Authors : Shambhavi Madhusudhanan

Volume/Issue : Volume 10 - 2025, Issue 8 - August

Google Scholar : https://tinyurl.com/4653pb3f

Scribd : https://tinyurl.com/4twzskyz

DOI : https://doi.org/10.38124/ijisrt/25aug367

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : In recent years, many industries have been transformed with the rapid rise of artificial intelligence, and the music industry is no exception. Given the rise of AI-integrated apps and generative software, it is important to understand both their potential for personalisation, lowering musical boundaries and boosting engagement and the risks they pose such as overreliance, inhibiting creativity, and reducing emotional depth in creative practices. This literature review explores the impact of artificial intelligence on the learning and composition of music. It delves into the various applications of AI in music education, including personalised learning, music composition and production, and VR/AR learning environments. It also examines the impact of AI on students' motivation, mood and self-efficacy, and growth. Finally, the study discusses the importance of a balance between AI and human teaching.

Keywords : Artificial Intelligence; Generative AI; Musical Boundaries; Music Composition; Music Learning.

References :

1. Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gašević, D. (2024). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13544
2. Merchán Sánchez-Jara, J. F., González Gutiérrez, S., Cruz Rodríguez, J., & Syroyid Syroyid, B. (2024). Artificial Intelligence-Assisted Music Education: A Critical Synthesis of Challenges and Opportunities. Education Sciences, 14(11), 1171. https://doi.org/10.3390/educsci14111171
3. Liang, J., Wang, L., Luo, J., Yan, Y., & Fan, C. (2023). The relationship between student interaction with generative artificial intelligence and learning achievement: serial mediating roles of self-efficacy and cognitive engagement. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1285392
4. Del Rio-Guerra, M. S., Martin-Gutierrez, J., Lopez-Chao, V. A., Flores Parra, R., & Ramirez Sosa, M. A. (2019). AR Graphic Representation of Musical Notes for Self-Learning on Guitar. Applied Sciences, 9(21), 4527. https://doi.org/10.3390/app9214527
5. Ilić, J., Ivanovic, M., & Milicevic, A. (2024). The impact of intelligent tutoring systems and artificial intelligence on students' motivation and achievement in STEM education: A systematic review. Journal of Educational Studies in Mathematics and Computer Science, 1, 5–18. https://doi.org/10.5937/JESMAC2402005I
6. Cheng, L. (2025). The impact of generative AI on school music education: Challenges and recommendations. Arts Education Policy Review, 1–8. https://doi.org/10.1080/10632913.2025.2451373
7. Lecamwasam, K., & Chaudhuri, T. R. (2025). Exploring listeners’ perceptions of generated and human-composed music for functional emotional applications. arXiv [Cs.HC]. Retrieved from http://arxiv.org/abs/2506.02856
8. Shank, D. B., Stefanik, C., Stuhlsatz, C., Kacirek, K., & Belfi, A. M. (2022). AI composer bias: Listeners like music less when they think it was composed by an AI. Journal of Experimental Psychology Applied, 29(3), 676–692. https://doi.org/10.1037/xap0000447
9. Cheng, J., & Cheng, J. (2009, September 30). Virtual composer makes beautiful music—and stirs controversy. Ars Technica. https://arstechnica.com/science/2009/09/virtual-composer-makes-beautiful-musicand-stirs-controversy/
10. Yun, Y. T., & Thiruvarul, . S. (2021). Understanding the Potential of Music Learning Application as a Tool for Learning and Practicing Musical Skills. International Journal of Creative Multimedia, 2(1), 42–56. https://doi.org/10.33093/ijcm.2021.1.3
11. Zhang, L. (2025). The complementary role of artificial intelligence to traditional teaching methods in music education and its educational effectiveness. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0035
12. Motlagh, S. E., Amrai, K., Yazdani, M. J., Abderahim, H. A., & Souri, H. (2011). The relationship between self-efficacy and academic achievement in high school students. Procedia - Social and Behavioral Sciences, 15, 765–768. https://doi.org/10.1016/j.sbspro.2011.03.180
13. GeeksForGeeks. (2025, July 23). AR and AI: The Role of AI in Augmented Reality. GeeksForGeeks. https://www.geeksforgeeks.org/artificial-intelligence/ar-and-ai-the-role-of-ai-in-augmented-reality/
14. Learning with Simply Piano: The basics | Simply Piano 101. (n.d.-b). https://piano-help.hellosimply.com/en/articles/7943490-learning-with-simply-piano-the-basics
15. Simply for teachers | Your partner for teaching music. (n.d.). Simply. https://www.hellosimply.com/teachers