Analysis of Al-generated Music Applications in Primary Schools under the STEAM Education System

Abstract

As a refinement of STEM (science, technology, engineering, and mathematics), STEAM (science, technology, engineering, arts, and mathematics) is considered a more comprehensive and practical pedagogy. However, in China’s educational environment, without the combination of test-oriented content, such methodology is hard to apply and popularize. Therefore, how to integrate more STEAM elements into the classroom while still meeting the assessment objectives of the exams needs to be considered further. Besides, to meet the iterative requirement of STEAM design, integrating advanced technology elements, especially Al, is an unavoidable trend. With a focus on music in the arts section of STEAM, our research is mainly intended to discuss the validity and practicality of using AI to generate songs that can help both Chinese primary school teachers to make innovations in class content and students to memorize certain knowledge points. Drawing on findings in the previous literature on STEAM education concerning AI music, the impact of nursery rhymes, and related AI platforms, this study collects knowledge points that are appropriate for primary school students and produces AI-generated songs. Then we discuss how these songs can be integrated into the STEAM system. The study assumes that AI-generated knowledge memory songs are actionable and have a good potential for further development. These songs could have a significant positive impact on primary school students’ knowledge memory and also stimulate teachers’ interest in adapting more technology elements in their teaching to make teaching more creative.