This study examines the educational effects of a generative AI music creation workshop conducted as part of STEAM education that integrates the arts (in this case, music creation) into science, technology, engineering, and mathematics (STEM). The workshop, held at Osaka Metropolitan University College of Technology, employed state-of-the-art generative AI tools such as ChatGPT and Suno, a music generation AI. It provided students with the opportunity to write their lyrics and collaborate with AI to compose music. Additionally, AI literacy education was incorporated to deepen understanding of the risks and ethical challenges associated with AI, aiming to balance creative activities with the responsible use of technology. Results from a post-workshop survey indicated that students experienced heightened creativity and self-expression through collaboration with generative AI, and many reported feeling a sense of excitement and anticipation (“wakuwaku”) during the process. Notably, creating music with AI was found to enhance students’ creative self-efficacy and promote sustained motivation for long-term AI use. However, some participants also expressed concerns about over-reliance on AI and reported psychological barriers, highlighting areas for improvement in future implementations. This study not only demonstrates that STEAM education incorporating generative AI is an effective approach to fostering students’ creativity and motivation to learn, but also addresses practical challenges such as ethical considerations and the need for supportive educational environments. Furthermore, as a successful case supported by The Asia Foundation and Microsoft, the program suggests the potential for collaboration among industry, academia, and government in advancing STEAM education.
Nakajima et al. (Thu,) studied this question.