Attıtudes of Students Studyıng in the Musıc Department Towards Artıfıcıal Intellıgence

Abstract

In addition to the use of artificial intelligence in many areas today, its use in the field of music to produce both visual and audio content has brought with it many advantages and disadvantages. At the intersection of artificial intelligence and music, the statistical results of music department students' attitudes are important in terms of the future of music education and musicianship. For this reason, the primary objective of this study is to reveal the general attitudes of students who have started and are continuing their undergraduate education toward artificial intelligence. In this research, the survey model, which is among quantitative research methods, was utilized. The population of the study was determined as students studying in music education and music departments of Fine Arts Faculties. The sample of the study consists of students from the Music Department of the Neşet Ertaş Faculty of Fine Arts at Kırşehir Ahi Evran University and the Music Department at Ankara University of Music and Fine Arts (n=194). The General Attitude Scale Towards Artificial Intelligence was used to obtain the findings of the study. Within the scope of the study, quantitative data were collected from music department students through an online scale administered on a voluntary basis. The research findings revealed that music department students' attitudes toward artificial intelligence were generally positive and high, while their negative attitudes remained at a moderate level. In addition, it was determined that students' positive and negative attitudes toward artificial intelligence did not show any significant differences based on their grade level, gender, faculty, or whether their family members were involved in music. Based on the results obtained, it is anticipated that artificial intelligence technologies will be increasingly preferred in the field of music education in the future, and it is recommended that music education programs be enriched with artificial intelligence-supported content.