【作者】 鲍杰；

【导师】 路琦； 毛丽敏；

【作者基本信息】 南京师范大学， 音乐（专业学位）， 2024， 硕士

【摘要】 在当前国家大力推动人工智能发展、音乐教育行业逐渐向数字化、智能化转型的背景下,本文以初中音乐课堂为研究对象,探讨了人工智能在音乐教学中的潜力及其应用问题。随着科技的进步,传统的音乐教学方式已经无法满足现代学生的需求,如何将人工智能技术与音乐教学相结合,提高教学质量和效果,成为了亟待解决的问题。 为了解决这一问题,笔者运用了实证研究和理论分析的方法,从多个方面对人工智能在音乐教学中的应用进行了深入探讨。第一章阐述音乐人工智能,包括音乐人工智能的发展与现状和AI技术在音乐教学中的优势,如个性化教学、智能评估系统、学习资源多样化等,这些优势有助于提高学生的学习兴趣和学习效果。第二章描述人工智能技术在初中音乐课堂中的应用,涉及智能教学系统与在线音乐资源库的应用,AI对课堂教学模式的影响。第三章展示相应的技术及软件,如声音识别技术、音高检测技术、节奏分析技术,这些技术可以帮助学生更好地掌握歌唱技巧。音乐软件在课堂中应用的案例。教学案例与对应的软件使用步骤。第四章阐述实证研究与分析,包括研究结果分析以及结果讨论与启示。 笔者的研究重点在于揭示人工智能在音乐教学中的应用价值及潜力。通过对初中音乐课堂实证研究发现,人工智能技术可以有效提高音乐课堂教学的质量和效果,有助于提高学生的音乐技能以及培养学生的创造力。同时还指出,AI技术在音乐教学中的应用也面临一些挑战,如技术的成熟度、教师的接受程度、学生的适应性等,这些问题需要在将来的研究中得到进一步分析和解决。更多还原

【Abstract】 Amidst the national drive towards the development of artificial intelligence and the gradual transition of the music education industry towards digitalization and intelligence,this paper explores the potential and application issues of artificial intelligence in music education,with a focus on junior middle school music classes as the subjects of study.As technology advances,traditional methods of music education are no longer able to meet the demands of modern students.It is essential to address the pressing need for integrating artificial intelligence technology with music education to improve the quality and effectiveness of teaching. To address this issue,the author employs empirical research methods and theoretical analysis to extensively examine the application of artificial intelligence in music education from various perspectives.Chapter one describes music artificial intelligence,including the development,current state,and the advantages of AI technology in music education such as personalized teaching,intelligent assessment systems,and diverse learning resources.These advantages contribute to enhancing students' interest and effectiveness in learning.Chapter two describes the application of artificial intelligence technology in junior middle school music education involving intelligent teaching systems and online music resource libraries,as well as the impact of AI on teaching modes.Chapter three introduces relevant technologies and software such as voice recognition technology,pitch detection technology,and rhythm analysis technology which aid students in mastering singing skills more effectively,practical cases demonstrating the application of music software in music teaching along with step-by-step instructions for using corresponding software.Lastly,chapter four elaborates empirical research findings followed by an analysis of these results along with a discussion on their implications. The author's research focuses on revealing the application value and potential of artificial intelligence in music education.Through empirical study on junior middle school music teaching,it has been discovered that artificial intelligence technology can effectively enhance the quality and effectiveness of music education instruction,thereby facilitating improvement in students' musical skills and fostering their creativity.Additionally,highlights certain challenges encountered in the implementation of AI technology in music education,including technological maturity,teacher acceptance,and student adaptability.These issues necessitate further analysis and resolution in future research.更多还原