Does AI ‐assisted creation of polyphonic music increase academic motivation? The DeepBach graphical model and its use in music education

Abstract

Abstract Background In the modern music industry, AI music generators have gained particular importance. The use of AI greatly simplifies the creation of polyphony. In addition, it can increase student motivation and interest. Aims This study focuses on the AI‐assisted creation of polyphonic music. The purpose of this study is to determine how creating polyphony through the Deep Bach model impacts the academic motivation of music university students. Materials & Methods Achieving this goal is possible by conducting an experimental training program based on the use of the above‐mentioned model. Results The results show that students in the experimental group have higher motivation than the control group participants. Therefore, AI‐based music creation has the potential to become a new trend in music education. Implications The findings of this study can be useful for music education experts, providing empirical data on the effectiveness of AI in music education. The use of the data can ultimately improve the learning process. Future research can focus on developing alternative AI models as well as investigating their effectiveness in music education.

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