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A Visualized Analysis of AI-Enabled Development in Korean as a Second Language: Based on CiteSpace

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(6), pp.255~270
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 17, 2026
  • Accepted : May 21, 2026
  • Published : June 30, 2026

Ziye Zhang 1

1연세대학교

Accredited

ABSTRACT

This study examines research trends in AI-based Korean language education as a second language through visualization analysis. CiteSpace was used for macro- and micro-level analysis, and the results indicate that with the development of AI, related research has been expanding; the focus of this research has moved from technology exploration to automated educational applications. The results also show that generative AI is developing at an accelerating pace in reconstructing teaching and learning and education. Based on the above results, this study puts forward a "technology-function matrix development model" that includes two axes: AI technology types and functions of Korean language education. The five stages of technological development are in the technology axis, and teaching and learning, assessment, translation and learning monitoring constitute the educational function axis. The above model shows the structure of connections between AI technology and educational functions, and explains how each technology can be applied to and extended across these educational functions.

Citation status

* References for papers published after 2024 are currently being built.