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)

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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
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An Analysis of Research Trends in Korean Language Education Using Generative AI

Namho Lee
Educational Systems and Policies
article

An Analysis of Research Trends in Korean Language Education Using Generative AI

Namho Lee
article en

Abstract

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)

Vol. 21(4)
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Educational Systems and Policies
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An Analysis of Research Trends in Korean Language Education Using Generative AI — Namho Lee · (2024) | TGRS Research Map | TGRS