METHODOLOGICAL SYSTEM FOR ORGANIZING MUSIC EDUCATION BASED ON GENERATIVE ARTIFICIAL INTELLIGENCE
Keywords:
generative artificial intelligence, music education, innovative method, digital pedagogy, professional competence, musical creativity, individualized learning, digital content, musical composition, reflective assessment.Abstract
This thesis provides a scientific and pedagogical analysis of innovative methods for
organizing music education based on generative artificial intelligence technologies. The
study aims to identify effective methods for using artificial intelligence tools that generate
text, musical notation, audio, visual, and multimedia content in music education and to
develop methodological recommendations for their integration into the educational
process.
References
1. UNESCO. Recommendation on the Ethics of Artificial Intelligence. – Paris: UNESCO, 2021.
2. U.S. Department of Education, Office of Educational Technology. Artificial Intelligence and the Future of
Teaching and Learning: Insights and Recommendations. – Washington, DC, 2023.
3. Zhang Y., Fen B. W., Zhang C., Pi S. Transforming Music Education through Artificial Intelligence: A Systematic
Literature Review on Enhancing Music Teaching and Learning // International Journal of Interactive Mobile Technologies.– 2024. – Vol. 18, No. 18. – P. 76–93. – DOI: 10.3991/ijim.v18i18.50545.
4. Zhou W., Kim Y. Innovative Music Education: An Empirical Assessment of ChatGPT-4’s Impact on Student Learning Experiences // Education and Information Technologies. – 2024. – Vol. 29, No. 16. – P. 20855–20881. – DOI: 10.1007/s10639-024-12705-z.
