ARTIFICIAL INTELLIGENCE IN MUSIC PEDAGOGICAL TRAINING

Abstract

The article examines the role of artificial intelligence (AI) in music pedagogical training, through a synthesis of theoretical foundations, a mapping of relevant applications (ChatGPT, Flat.io/Noteflight, Soundtrap/BandLab, AIVA, MuseNet) and a proposal for a didactic approach oriented towards digitally assisted tonal-functional harmony. A microcase study (N=30) captures students' perceptions of the usefulness and limits of AI. The conclusions support the critical-creative integration of AI, with an emphasis on personalization, immediate feedback and digital/ethical literacy, without substituting the human dimension of artistic education.