This study explores the factors influencing the acceptance of generative AI in invention classes, applying the Unified Theory of Acceptance and Use of Technology (UTAUT). The research focuses on critical determinants such as performance expectancy, effort expectancy, social influence, and facilitating conditions, all of which were found to positively impact teachers’ intention to adopt generative AI in invention education. Participants included teachers who underwent 15 hours of training on integrating various AI tools—conversational AI, image generation AI, blueprint design AI, and video generation AI—into invention classes. The findings suggest that the effective use of generative AI in educational settings can be facilitated by improving teacher support, training, and understanding of its potential benefits. This study provides valuable insights for future implementation strategies, helping educators effectively incorporate emerging technologies like generative AI into STEM and invention-based curricula.

Authors:
SungAe Kim, Duksung Women’s University, South Korea
Suna Bae, Jeonju National University of Education, South Korea
Dasol Kim, Daejeon Saemirae Middle School, South Korea
Seung-Hyun Kim, Daejeon Saemirae Middle School, South Korea
Young-Jae Song, Haenuri Middle School, South Korea

About the Presenter(s)
Dr SungAe Kim is an Assistant Professor at the Department of Teacher Education at Duksung Women’s University in Seoul, South Korea.

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