Research on the Collaborative Education Mechanism of Integrating AI Music into Music Education from an Interdisciplinary Perspective
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DOI: 10.25236/icamfss.2024.045
Author(s)
Pengcheng Wu, Mengqi Pei
Corresponding Author
Pengcheng Wu
Abstract
With the rapid development of artificial intelligence (AI) technology, the creation and application of AI music are gradually changing the traditional mode and methods of music education, bringing new opportunities and challenges to educators and learners. AI music technology can not only assist music teaching, but also promote interdisciplinary integration and innovation, providing important support for cultivating students' comprehensive qualities. This article systematically explores the collaborative education mechanism of integrating AI music into music education from an interdisciplinary perspective. By analyzing the current situation and technological advantages of AI music education, the study found that AI technology can enhance students' music creativity, expand their artistic thinking, and promote the deep integration of music education with science, technology, cultural history, and other disciplines. In addition, this article summarizes the current technological barriers, insufficient teaching staff, and unequal distribution of educational resources in the development of AI music education, and proposes specific paths for optimizing collaborative education mechanisms, including technical support, curriculum design, multi-party collaboration, and policy promotion. Research has shown that future music education needs to fully leverage the intelligent and personalized advantages of AI technology to build an open, diverse, and efficient collaborative education model, in order to achieve comprehensive improvement of students' artistic literacy and interdisciplinary abilities and open up new paths for the sustainable development of music education.
Keywords
AI Music; Music Education; Collaborative Education; Interdisciplinary; Educational Innovation