An Analysis of AI-related Research Trends in Art Education: Focusing on Korean Academic Journals and Theses from 2017 to 2024

This study explores research trends in AI-related art education in South Korea by analyzing 93 academic papers based on publication year, research topics, subjects, and methods. AI-related research has surged since 2023, with journal articles being far more prevalent than dissertations. Nearly half of the studies focus on teaching methods and program development, followed by theoretical discussions, educational effects, educational technology, and current educational conditions. Most studies target human participants, with nearly half focusing on primary and secondary students. Qualitative research is the most common method, followed by mixed methods, literature reviews, quantitative research, and program or tool development. As the first study analyzing AI-related research trends in Korean art education, this paper serves as a foundation for future research directions.