Analysis of the Characteristics of Research on Korean Language Learners' Experiences Using Generative Artificial Intelligence

Purpose: This study aimed to analyze the common patterns experienced by learners in Korean language learning using generative AI and to explore their educational implications. Methods: Relevant studies were collected through the Research Information Sharing Service (RISS) and Google Scholar. Based on inclusion and exclusion criteria, eligible papers were selected for analysis. A constant comparative analysis method was applied to derive common themes. Results: Under the meta-theme of “Educational Possibilities and Limitations of Using Generative AI in Korean Language Learning,” four comprehensive themes were identified: “Limitations of Generative AI-Assisted Learning,” “Personalized Learning Assistant,” “Support for Authentic Communication,” and “Enhanced Self-Expression.” Among them, the “limitations” were interpreted as elements that may need to be considered in advance for the realization of the other themes. Conclusion: Generative AI has the potential to support learning tailored to learners' levels and needs across various areas of Korean language education, including speaking, writing, grammar, reading, and literature. Educational considerations are necessary to ensure its effective use. This study provides a comprehensive understanding of Korean language learners’ experiences with generative AI and serves as foundational data for exploring its practical application in educational settings.