Research on the Innovation and Impact of AI Technology on Traditional Music Teaching Methods
Abstract
The application of artificial intelligence in music education has revolutionized traditional teaching methods, addressing issues of unequal resource distribution and a lack of personalization. Utilizing machine learning, speech recognition, and big data, this technology enables intelligent design of educational content and personalized strategies, while facilitating effective sharing of teaching resources. The introduction of intelligent tutoring systems, automated grading, and virtual learning environments has significantly enhanced learning efficiency and educational quality. This paper analyzes practical cases of innovation in music education through AI, demonstrating its positive impacts on optimizing teaching processes, enhancing teacher-student interactions, and improving educational equity.
References
[1] Lv H Z. Innovative music education: Using an AI-based flipped classroom[J]. Education and Information Technologies, 2023,
28(11): 15301-15316.
[2] Yu H, Zou Z. The music education and teaching innovation using blockchain technology supported by artificial intelligence[J]. International journal of grid and utility computing, 2023, 14(2-3): 278-296.
[3] Li Y, Sun R. Innovations of music and aesthetic education courses using intelligent technologies[J]. Education and Information
Technologies, 2023, 28(10): 13665-13688.
[4] Dai D D. Artificial intelligence technology assisted music teaching design[J]. Scientific programming, 2021, 2021(1): 9141339.
[5] Lee L, Lin C H. Digital and Traditional Learning: Learning Styles with Music and Technology for Early Childhood Education[J].
Engineering Proceedings, 2023, 38(1): 19.
1.jpg)
