Modeling music student teachers’ behavioral intention of using artificial intelligence in China

Key Points

• The behavioral intention of pre-service music teachers to adopt artificial intelligence is significantly shaped by various individual and institutional factors.
• Key factors influencing this intention include policy-related elements that integrate AI in education, highlighting its importance in teacher training programs.
• The study employed multiple approaches to assess how different influences can affect technology adoption in educational settings.
• These findings emphasize the need for integrating AI into music teacher training to prepare educators for future educational challenges.