ABSTRACT
This chapter critically reviews some of the main approaches to using Artificial Intelligence in music education. The field is highly interdisciplinary, involving substantial contributions from the fields of music, education, artificial intelligence (AI), cognitive psychology, the psychology of music, social psychology, anthropology, philosophy, linguistics, human computer interaction, mathematics, computer science and many other fields. AI in Education itself is a very diverse field, dating from about 1970 (Carbonell, 1970), and it has its own developed methodologies, techniques and traditions. Rather than attempting to be comprehensive, this chapter takes a representative approach. For brevity, we will abbreviate AI in Education to AI-ED, following a standard convention.
