Trends and Prospects of Language Education Research Using Generative AI : Focusing on Topic Modeling and Keyword Analysis
Year: 2024
Type: article
Abstract: The purpose of this study is to analyze the latest research trends in language education using artificial intelligence, focusing on the potential and prospects of generative artificial intelligence in this field. To achieve this, academic journals and dissertations published on the Korea Citation Index (KCI) and the Academic Research Information Service (RISS) were thoroughly searched to collect subjects for research, which were then analyzed using statistical methods and LDA-based topic modeling techniques. The analysis showed a significant increase in research, with 92 studies emerging after the development of ChatGPT 3.0 in 2023, predominantly focusing on the use of generative AI. The majority of these studies were focused on the Korean language, followed by English and German. Keyword analysis of the 92 academic documents using topic modeling techniques revealed that terms such as ‘education’, ‘generation’, ‘utilization’, ‘artificial intelligence’, and ‘learning’ were most frequently used. Based on these findings, the study examines practical examples of generative AI use in language education both domestically and internationally, explores its potential in the educational field, identifies challenges when utilizing generative AI in language education, and proposes solutions to address these issues.
Author: Jun Woo Cha
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Award: G355659074
OpenAlex ID: W4404083608