A Bibliography Study on Academic Publications about Artificial Intelligence in Music Education
ABSTRACT
Research has indicated that the ever-changing emerging technologies have different impacts on music education from many perspectives such as; music pedagogy, instruction methods, evaluation approaches. For almost 30 years the online learning and education platforms based on Artificial Intelligence (AI) provides both teachers and students with rich personal teaching/learning environments, methods, educational tools and improve the efficiency of music education. Although there has been extensive publication in the field of AI in education and AI in the music industry, it has been observed that publications on AI in music education have gained momentum since 2019. This situation is the most important motivation for conducting this research.
In this research, a bibliographic study was conducted through the document review method. Data were obtained by scanning published scholar books/book chapters (n=1), articles (n=58) and conference papers (n=19) in selected online databases and, were grouped and presented according to certain criteria. Studies between 2019-2023 that included the terms "music education/teaching/learning" and "Artificial Intelligence (AI)" together in their titles and abstracts (including keywords) both in English and Turkish were scanned. It was determined that 18 of the 58 articles examined were retracked and, most of the publications did not contain information about the research design and method. Also it is found out that; most of the research focus on theoretical subjects such as; musical analysis, composition, algorithmic systems, and a few on instrumental-mostly piano or vocal pedagogy. It has been observed that studies on music education applications with AL are insufficient.
The importance and use of AI is increasing day by day, and research will continue to be conducted as long as this issue is on the agenda. The main aim of this research is to provide a resource for experts and academics studying in the field and shed light on future scientific studies on music education and AI. The scanning process in this study is limited, therefore, in future research, it may be recommended to examine publications in different languages and scientific theses in larger databases, within the framework of different criteria.