The Oxford Handbook of Artificial Intelligence in Music Education

Abstract

The Oxford Handbook of Artificial Intelligence in Music Education provides a comprehensive and timely overview of how AI is transforming music teaching and learning. Bringing together international scholars, the volume examines both the opportunities and challenges of AI as a powerful yet complex force in modern education. Beyond technical details, the handbook discusses pedagogical, ethical, and philosophical issues, including creativity, authorship, bias, equity, and the preservation of human-centered music-making.

The text is divided into four sections: conceptual foundations, generative practices, classroom applications, and community contexts. It provides a structured overview of AI in different settings. Contributors draw on insights from music education, cognitive psychology, and human-computer interaction to offer both critical analysis and practical applications. Through case studies and international perspectives, the volume shows how AI is already influencing classrooms and musical communities worldwide. Rather than offering fixed solutions, it encourages ongoing scholarly dialogue about blending innovation with artistic integrity, critical thinking, and relational pedagogy.