An Analysis of Research Trends in Korean Language Education Using Generative AI
This study examines the use of generative AI in the field of Korean language education in Korea. Through topic modeling and keyword network analysis of 67 scholarly articles and presentations, the study identifies the main keywords related to generative AI, such as ‘learner’, ‘research’, ‘Korean’, ‘education’, ‘ChatGPT’, and ‘artificial intelligence’. The results indicate a growing interest in generative AI in learner-centered education methods and technology utilization. The study identifies nine major topics, including the use of technology in Korean language education, automatic evaluation of Korean language proficiency, and the impact of interaction and learner anxiety. The analysis also reveals that keywords like ‘language’, ‘research’, ‘artificial intelligence’, ‘learning’, ‘learner’, and ‘Korean’ are central to research involving generative AI. The implications of the study suggest that generative AI is viewed as an innovative tool in Korean language education, impacting learner-centered approaches and being utilized in various areas such as skill development, assessment, interaction, vocabulary learning, and cultural education.(Chung-Ang University)
Authors
- Namho Lee
Publication Details
- Published
- 2024-12-31
- DOI
- https://doi.org/10.15652/ink.2024.21.4.159
- Primary Topic
- Educational Systems and Policies
- Type
- article
- Field-Weighted Citation Impact
- 0.00