The rapid advancement of generative AI technologies is increasingly accompanied by their broader application across various sectors, particularly within creative industries. In this study, IBM Watson BEAT software, based on generative AI technology, was tested as an educational tool in the process of teaching music composition theory to flute…

The goal is to promote the healthy and stable development of music education in China. The time-frequency sequence topology in frequency domain can improve the effect of convolution operation. Therefore, this paper applies the above algorithms to classical music education, including the recognition of classical instruments, the feature extraction…

Makams of Classical Turkish Music have been tried to be classified through various studies for the past years. Significant differences of opinion have emerged in the classification process of the makams in Music Education and Literacy from past to present. This situation creates problems in learning the makams related to music education and…

The aim of this paper is to determine both the influence of musical compositions' genres on the students' musical literacy formed using artificial intelligence technologies and the musical literacy skills among music and non-music major students. Accordingly, the method of analysis was used to identify the most common musical genres in the Chinese…

Musical education is the process of acquiring the knowledge, skills, and abilities necessary for musical activity, as well as the body of knowledge and related skills and abilities obtained because of training. In today's rapidly evolving educational landscape, the integration of innovative tools and techniques transforms music education. By…

Discusses the importance of applying computational modeling and artificial intelligence techniques to music cognition and computer music research. Recommends three uses of microworlds to trim computational theories to their bare minimum, allowing for better and easier comparison. (CFR)