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Objectives This study aims to implement the unit of Korean Language Education Communicative Competency, focusing on discussions using generative AI. Methods This study formed a theoretical background by examining the characteristics of understanding by design, the concept and process of discussions, the utilization of generative AI for discussions, Critical Reflection on the Discussion Unit in the Korean Language Textbook, and the structuring of units based on Korean Language Education Communicative Competency. After establishing a research procedure based on the ADDIE model, constructing an implementation model, selecting measurement tools, organizing a research group, and establishing a plan for effectiveness verification, this study was conducted by applying the unit design developed by Ryu (2023). Results Utilizing the Wilcoxon signed-rank test, the study confirms a significant improvement in the study group's communicative competency in all sub-factors from pre-test to post-test. Through reflective discussions and analysis of learner portfolios using analytical rubrics, it is confirmed that by engaging in discussion activities utilizing generative AI based on inclusiveness and initiative, the communicative competency and discussion skills of the research group have positively improved. Conclusions Hopefully, this study will have implications for the role of Korean Language Education to respond to changes in the future educational environment and contribute to the research and practice of competency-based Korean language education.
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