AI 智能体助力小学低段大单元音乐教育创新课堂的探究——以人音版一年级下册《童谣》

Abstract

With the deep integration of AI Agent technology into the field of education, its potential in elementary school music education has drawn significant attention. This study takes the first-grade music unit as an example, designing and developing the AI teaching assistant "Nursery Rhyme Elf." The assistant was incorporated into interdisciplinary classrooms and project-based learning (PBL) settings to explore the effectiveness of an innovative "teacher–student–AI" collaborative teaching model driven by intelligent agents. The results indicate that "Nursery Rhyme Elf" significantly enhances classroom contextualization, engagement, and interactivity, promotes the development of students' core music competencies, stimulates their interest in learning, cultivates problem-solving skills, fosters interdisciplinary exploration, and improves independent learning habits. Moreover, addressing the limitations of AI Agents, such as insufficient personalized feedback, challenges in teacher adaptation to technology, and the need for more comprehensive teaching evaluation systems, this study proposes optimization strategies while envisioning future directions for deeper integration of human-AI collaborative teaching in intelligent music classrooms. This research provides practical experience and theoretical support for leveraging AI agents to empower elementary school music education.