Analysis of the Path of Integrating AI Music Composition and Digital Tools to Promote the Innovative Development of Blended Learning in Music Education

Authors

  • Jingwen Hu Institute of Education and Society University College London, London, The United Kingdom

DOI:

https://doi.org/10.54097/t4j3t888

Keywords:

AI composition, digital tools, music education, blended learning, innovation and development.

Abstract

The rapid development of AI composition and digital teaching tools is transforming the teaching methods and classroom ecology of music education. This article discusses how these two types of technical tools can be integrated and utilized in music teaching. First, it will summarize the application scenarios in the classroom, and then analyze how they drive changes in the blended learning model, explaining the mechanism of their effects from three perspectives: cognitive activation, practical expansion, and ecological reconstruction. Based on this, several suggestions are proposed, including designing teaching systems by grade levels, combining virtual and real scenarios to create a learning environment, and coordinating the educational functions of schools, families, and society. From the analysis, the in-depth application of AI composition and digital tools is transforming music education from "using tools to assist teaching" to "using tools to reconstruct the entire teaching system". This process requires teachers to change their role positioning, make students more active, and at the same time, maintain the fundamental function of music education in aesthetic cultivation. Technology can improve teaching efficiency, and humanistic guidance cannot be ignored. How to find a balance between technical efficiency and humanistic guidance is a key issue that current blended learning needs to address.

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References

[1] 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/educsci14111171Base for E... DOI: https://doi.org/10.3390/educsci14111171

[2] 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: https://doi.org/10.3991/ijim.v18i18.50545

[3] Lam, C. K. (2024). Technology enhanced creativity in K 12 music education: A scoping review. International Journal of Music Education, 42(4), 691 703. https://doi.org/10.1177/02557614231194073Wiley Onli... DOI: https://doi.org/10.1177/02557614231194073

[4] Song, C. (2025). Harmonising Minds: How AI Powered Learning Tools Shape Music Education Students' Cognitive Load, Well Being and Academic Success. European Journal of Education, 60(2), e70122. DOI: https://doi.org/10.1111/ejed.70122

[5] Cai, L., Msafiri, M. M., & Kangwa, D. (2025). Exploring the impact of integrating AI tools in higher education using the Zone of Proximal Development. Education and Information Technologies, 30(6), 7191 7264. DOI: https://doi.org/10.1007/s10639-024-13112-0

[6] Xihua University College of Music and Dance. (2025, March 23). Multi faceted efforts to promote the reform of music theory and composition curriculum. China Education News. http://paper.jyb.cn/zgjyb/html/2025 03/23/content_144742_18372529.htm

[7] Li, P. P., & Wang, B. (2024). Artificial intelligence in music education. International Journal of Human Computer Interaction, 40(16), 4183 4192. https://doi.org/10.1080/10447318.2023.2209984 DOI: https://doi.org/10.1080/10447318.2023.2209984

[8] Han, Y., Han, L., Zeng, C., & Zhao, W. (2025). The innovation path of VR technology integration into music classroom teaching in colleges and universities. Scientific Reports, 15(1), 12200. https://doi.org/10.1038/s41598 025 97003 5Taylor & F... DOI: https://doi.org/10.1038/s41598-025-97003-5

[9] Brophy, T. S. (2011). School university partnerships in music education: A status report. Arts Education Policy Review, 112(3), 149 153. https://doi.org/10.1080/10632913.2011.566092Taylor & F... DOI: https://doi.org/10.1080/10632913.2011.566092

[10] Cheng, L. (2025). The impact of generative AI on school music education: Challenges and recommendations. Arts Education Policy Review, 126(4), 255 262. https://doi.org/10.1080/10632913.2025.2451373 DOI: https://doi.org/10.1080/10632913.2025.2451373

[11] Yu, X., Ma, N., Zheng, L., Wang, L., & Wang, K. (2023). Developments and applications of artificial intelligence in music education. Technologies, 11(2), 42. https://doi.org/10.3390/technologies11020042 DOI: https://doi.org/10.3390/technologies11020042

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Published

05-10-2026

How to Cite

Hu, J. (2026). Analysis of the Path of Integrating AI Music Composition and Digital Tools to Promote the Innovative Development of Blended Learning in Music Education. Journal of Education, Humanities and Social Sciences, 64, 60-65. https://doi.org/10.54097/t4j3t888