Comparative Study of AI Education Policies between China and Korea

The purpose of this study is to compare the development models of AI education curriculain China and South Korea, summarize their commonalities and differences, and explore ways to optimize the curriculum systems of both countries. The research method used the Wheeler cyclic model as the primary research framework and utilizes Nvivo qualitative analysis software to conduct open coding on AI education policy documents issued by the governments of China and South Korea. The results of this study are as follows. First, in the policy environment, China pursues central government-led regional customized policies, while Korea pursues government-educational institution cooperation and data-based policies. Second, in the curriculum, China emphasizes standardized AI curriculum, while Korea emphasizes customized learning and diverse curriculum. Third, in teaching methods, China focuses on expanding educational resources and resolving gaps, while Korea actively utilizes AI-based smart education. Fourth, in teacher evaluation, China uses traditional methods and dynamic evaluations in parallel, while Korea utilizes AI-based evaluation tools and automated systems.