Choi, W.Y. (2025) Two Decades of Educational Technology in Korean English Education : A Systematic Analysis Using NLP-Based Text Mining (2004-2023). Journal of Interactive Learning Research, 36 (3). pp. 221-248. ISSN 1093-023X
Full text not available from this repository.Abstract
This study analyzes the trends in Edutech-related (Edtech) research within English education in Korea, utilizing Natural Language Processing (NLP)-based text mining. Data, including titles, keywords, abstracts, and publication years of 717 research papers, were collected over the past 20 years (2004-2023) from the Korean Education and Academic Information Service (RISS) database and Google Scholar. The analysis involved trends in the number of publications over time, word frequency, TF-IDF, N-gram, and CONCOR analysis. Overall, the findings indicate an increasing importance and expanding scope and depth of technology’s role in English education over time. In particular, the integration of advanced technologies like AI is fundamentally transforming English education methodologies and learners’ experiences, which is expected to have a significant impact on the future of English education. In this study, the trends in Edtech-related research in English education in Korea analyzed not only offer important implications for the field of international English education but also provide practical strategies and methodologies applicable to teachers, learners, parents, policymakers, and all stakeholders involved in English education, as well as a deep understanding of the global Edtech market.