MUSIC EDUCATION BASED ON GENERATIVE ARTIFICIAL INTELLIGENCE
Abstract
This thesis provides a scientific and pedagogical analysis of innovative methods for organizing music education based on generative artificial intelligence technologies. The aim of the study is to identify effective ways of using artificial intelligence tools capable of generating text, musical notation, audio, visual, and multimedia content in music education, as well as to develop
methodological recommendations for their integration into the educational process
References
UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO. 2. U.S. Department of Education, Office of Educational Technology. (2023). Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. Washington, DC 3. Zhang, Y., Fen, B. W., Zhang, C., & Pi, S. (2024). Transforming music education through artificial intelligence: A systematic literature review on enhancing music teaching and learning. International Journal of Interactive Mobile Technologies, 18(18), 76–93. doi:10.3991/ijim.v18i18.50545. 4. Zhou, W., & Kim, Y. (2024). Innovative music education: An empirical assessment of ChatGPT-4's impact on student learning experiences. Education and Information Technologies, 29(16), 20855–20881. doi:10.1007/s10639-024-12705- z.
