Integrating Artificial Intelligence into Orff-Schulwerk: Enhancing Music Education for Primary and Secondary School Students
List of Authors
Hao Yi Ho, Sumathi Maniam, Xuhao Cheng
Keyword
Integrating Artificial Intelligence; Orff-Schulwerk; Music Education
Abstract
This article comprehensively evaluates the impact of artificial intelligence (AI) on "Orff" music education for primary and secondary school students. The research approaches from multiple perspectives, involving the innovation of teaching methods, the enrichment of educational resources, the improvement of students' learning experience, and the transformation of teachers' roles. The introduction of AI has promoted the transformation of teaching methods, provided unprecedented, personalized learning support, enabling students to participate more actively in the music learning process, thus improving learning outcomes. However, although AI technology has brought many positive changes to "Orff" education, it also exposes the problem that teachers must improve their technology application ability. This may lead to a reduction in teacher-student interaction and weaken the interpersonal communication elements in traditional music education. By deeply exploring the multiple impacts of AI, it helps educators more effectively integrate this technology into classroom practice and promote students' more comprehensive growth and development in music literacy.