The Application Innovation and Development Trends of Artificial Intelligence Empowering Music Classroom Education in Chinese Universities
Keywords:
artificial intelligence, music classroom education, application innovation, path research
Abstract
With the rapid advancement of Artificial Intelligence (AI) technology, its application in the field of education has become increasingly widespread. University music classrooms, as a crucial front for music education, are gradually integrating AI technologies to enhance teaching efficiency and optimize learning experiences. However, the application of AI also faces numerous challenges, including the alignment of technology with educational objectives, the transformation of teachers' roles, cost-related issues, and ethical concerns. From the perspective of instructional design in university music classrooms, this paper systematically explores the specific applications, potential challenges, and future development directions of AI in music education.
Downloads
How to Cite
References
L Anderson, P Taylor, T Brown (2022) Integrating AI into music education: A framework for teacher training. 49(2), 123-145.
T Brown, K Davis, R Wilson (2019) Constructivist learning in music education: A framework for AI-driven personalized guidance. 67(3), 45-60.
M Garcia, L Anderson, P Taylor (2023) AI composition tools in music education: Applications and case studies. 180, 104567.
M Garcia, J Smith, H Lee (2023) Global collaboration in AI music education: Building open educational resources platforms. 180, 104567.
R Harris, Y Wang, R Johnson (2023) Cultivating creative thinking through AI in music education.
R Johnson, H Lee (2023) AI in Education: Bridging Technology and Pedagogy.
R Johnson, L Anderson, P Taylor (2020) Behavioral analysis and big data in music education assessment. 47(3), 123-145.
R Johnson, T Brown, K Davis (2020) Interdisciplinary approaches to music education: Overcoming barriers and fostering innovation. 45(3), 123-145.
H Lee, T Brown, M Garcia (2022) Collaborative AI composition systems: A new paradigm for music education. 34(1), 89-104.
H Lee, Y Wang, T Brown (2022) Developing intelligent music learning support systems: A case study of interdisciplinary collaboration.
J Smith (2022) Interdisciplinary Approaches to Music Education.
J Smith, L Anderson, P Taylor (2021) AI in music composition: Enhancing creativity and emotional expression. 23(2), 178-195.
P Taylor, M Garcia, R Harris (2021) AI-driven training programs for music teachers: A case study. 68(2), 210-225.
Y Wang, H Lee, R Johnson (2023) FRONT MATTER. 71(3), i-xx.
J Chen (2019) The application and challenges of artificial intelligence in music education. 45(2), 78-92.
Y Chen, X Wu (2023) The integration of blockchain and AI in music education. 12(3), 45-60.
L Guo, H Zhang, Y Wang (2023) Ethical issues in the application of AI in music education. 34(4), 112-125.
M Huang (2022) Integrating Literacy Strategies into Pre-Service Music Education. 56(1), 56-70.
H Li, X Wang (2021) AI-driven music composition tools: A case study of creative applications in Chinese universities. 15(2), 89-104.
Haotian Li, Yanjun Liu (2023) Privacy Dilemma of Combination of Traditional Chinese Medicine and AI Based on Case Study. 40, 79-80.
S Liu, X Chen, Y Zhang (2022) AI-assisted ensemble training: A new approach to collaborative learning in music education. 18(2), 67-82.
L Wang (2021) Balancing technology and creativity in AI-driven music education. 29(3), 23-37.
J Yang, L Zhao, H Liu (2021) Virtual reality and AI in music history education: A case study of the Central Conservatory of Music. 22(4), 101-115.
H Zhang, Y Liu (2023) Emotion-aware AI systems in music education: A new frontier for personalized learning. 14(1), 45-60.
W Zhang, X Li, Y Chen (2020) The Relationship Between Music Education in Colleges and Universities and Traditional Chinese Music and Their Development. 13, 56-72.
M Zhao (2022) AI-based performance assessment in music education: A case study of the Shanghai Conservatory of Music. 19(1), 12-28.
T Zhou, R Xu (2023) A framework for integrating AI into music education: Prioritizing creativity and emotional expression. 11(2), 78-93.
Published
2025-05-17
Issue
Section
License
Copyright (c) 2025 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.