Artificial Intelligence–Assisted Piano Pedagogy: Enhancing Technique and Musical Expression

The integration of artificial intelligence (AI) into music education has introduced transformative possibilities for piano pedagogy, particularly in the areas of technical development and musical expression. This study examines the role of AI-assisted tools in enhancing piano instruction by analyzing their impact on learning efficiency, performance accuracy, and interpretative depth. Through a synthesis of existing literature and pedagogical practices, this paper explores how AI technologies—such as real-time feedback systems, motion analysis software, and intelligent accompaniment platforms—contribute to individualized learning experiences. AI-assisted piano pedagogy offers significant advantages in technical training by providing immediate, objective, and data-driven feedback. These systems enable students to identify errors in rhythm, articulation, and dynamics more efficiently than traditional methods. Furthermore, AI technologies support the development of expressive performance by analyzing phrasing, timing, and tonal variation, thereby guiding students toward more nuanced interpretations. However, the study also addresses potential limitations, including over-reliance on technology, reduced teacher-student interaction, and challenges in capturing the subjective and emotional dimensions of musical expression. The balance between technological assistance and human artistic guidance remains a critical concern in contemporary pedagogy. This paper argues that AI should not replace traditional teaching but rather function as a complementary tool that enhances both technical precision and expressive awareness. By integrating AI into piano pedagogy, educators can create more adaptive, efficient, and engaging learning environments while preserving the essential artistic and humanistic aspects of musical training.