AI Literacy and Teaching Self-Efficacy Enhancement in Future Pre-service Teachers: A Case Study of Education Office Camp Implementation

Objective: This study analyzes the effectiveness of the Education Office's high school Winter/Summer School camp during school vacations for enhancing the artificial intelligence (AI) digital competences of high school students aspiring to become future teachers, and students' satisfaction. Methods: To measure the effects and satisfaction, we conducted pre- and post-course surveys using Google Forms to assess students' perception of AI, AI literacy, and teaching efficacy. We supplemented these quantitative data with qualitative data by utilizing participants' learning logs and conducting interviews. Finally, we fostered interaction among the participants during the learning process through Naver Band, and observed the outputs and learning process through activities such as creating teaching and learning content using AI and digital tools. Results: We found high satisfaction levels, and significant positive effects on students' perception of AI, AI literacy, and teaching efficacy. Clearly, the camp courses helped participating students develop AI literacy, enhance teaching efficacy, and build their competencies as future teachers. Conclusions: The "AI and Digital Competency Education Practicum for Future Teachers" conducted in the Winter/Summer School can enhance participants' AI literacy, teaching efficacy, and overall learning satisfaction. This has important educational implications for future teacher training.