Presentation Information
[A-12-11]Analysis of AI Acceptance Evaluation and Participant Responses in Generative AI Education Practice
〇Hironao Gake1,4, Naohito Kimura1, Reiya Kaga1, Ryo Yonehama2, Takashi Yuasa3, Naoto Sasakawa3, Keigo Oita3 (1. Hokkaido Univ. Science, 2. Sapporo Otani Univ., 3. Abashiri City Board Edu., 4. ipsera)
Keywords:
Educational Technology,Generative AI,Recurrent Education,Lifelong Learning,Social Education,Programming
Generative AI is rapidly spreading as a technology for creating text, images, programs, and music. However, non-specialist users and school-age learners may hesitate to use it because of limited understanding and anxiety about its operation. This study analyzes AI acceptance and participant responses in a generative AI education practice conducted in Abashiri City for elementary and junior high school students and general participants. The course introduced generative AI as “AI that creates” and included hands-on activities using Google Gemini to generate HTML applications and a music generation AI system to create an “Abashiri song.” An 11-item five-point questionnaire was conducted after the course. The average score was 4.15 for general participants and 4.41 for elementary and junior high school participants. Positive response rates were 79.6% and 83.3%, respectively. These results suggest that creating artifacts through interaction with AI may help participants understand generative AI as a familiar creative support tool.