The purpose of this study is to integrate Generative AI (GAI) into elementary music education in rural areas to facilitate music composition, while enhancing students’ creative motivation and self-efficacy through successful experiences. In Taiwan’s remote regions, although the government has made efforts to narrow the gap between rural and urban areas, there remains a shortage of qualified music teachers. This instructional design adopts a procedural scaffolding experimental approach and applies a “writing-as-coding” method, in which natural language prompts are treated as computational commands. Students engage in the “computational writing practice” of creating lyrics (chants) through ChatGPT, and then generate musical compositions using Suno AI. By lowering the technical threshold through language interaction, this design helps transform abstract creativity into concrete works, mediates emotional expression, and simultaneously preserves the subjectivity, criticality, and emotional depth of human creativity.

Authors:
Yun Yan Hsieh, National University of Tainan, Taiwan
Hao Chiang Koong Lin, National University of Tainan, Taiwan

About the Presenter(s)
My name is Yun Yan Hsieh. I'm a Director of General Affairs, Department of Music, Tainan University of Technology. My interests include music and painting. My currently conducting research on the application of AI in elementary school teaching.

See this presentation on the full schedule – Wednesday Schedule

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