人工智能在音乐教育领域的应用现状与优化策略

The Current State and Optimization Strategies of Artificial Intelligence in Music Education

近年来,人工智能技术飞速发展,在音乐教育领域也逐步得到应用,在分析音乐结构、增强音乐理解、激发学生兴趣、提高教学效果、弥补教育资源不足等方面,人工智能展现出独特优势。当前,人工智能在音乐教育领域的应用主要有学习平台构建、智能辅助创作以及教学效果评估与反馈这三种模式,其可扩展应用的范围还在不断延伸。但实际应用中,存在数据安全性欠佳、评价的准确性和公正性不足等问题,可从加强数据安全管理、提升评估的准确性、提高使用普及率等方面入手,提高人工智能运用的正面助力,以更好地促进我国音乐人才的培养和音乐教育事业的发展。

In recent years,artificial intelligence(hereinafter referred to as“AI”)has been in rapid development and gradually applied in music education,showing its unique advantages in analyzing musical structure,deepen comprehension of music,arousing students’interest,enhancing teaching effect and making up for educational resources.Currently,there are three modes for the application of AI in music education,including learning platform construction,intelligent-assisted composition,and teaching effectiveness evaluation and feedback,and its application scope is expanding.However,there are such problems as weak data security,inaccurate and less-fare evaluation,and others.It is feasible to expand positive application of AI from such aspects as strengthening the data safety management,improving the accuracy of evaluation and increasing the popularizing rate of its use,so as to better facilitate the music talent training and the development of music education in China.