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AI in Chinese Language and Literature Education: Current Status and Tasks for Classical Chinese Literature Education — A Preliminary Study on Diagnosing Classical Literacy through Generative AI Images of the Song ci Yulinling

  • Cross-Cultural Studies
  • 2026, 79(), pp.233~262
  • DOI : 10.21049/ccs.2026.79..233
  • Publisher : Center for Cross Culture Studies
  • Research Area : Humanities > Literature
  • Received : September 5, 2026
  • Accepted : October 9, 2026
  • Published : October 31, 2026

LEE EUNJU 1

1한국교통대학교

Accredited

ABSTRACT

This study reviews research on AI-assisted Chinese language and literature education, identifies a gap in classical Chinese literature education, and sets out the tasks that this field faces. Existing studies in the literary domain have proposed ways of applying AI far more often than they have verified its educational effects. This study attributes this gap not to researchers’ lack of interest but to the absence of a measurement framework and therefore seeks to define what should be examined before such effects can be verified. Taking as a preliminary example a reconstructed classroom case in which the Song ci Yulinling was rendered into images using generative AI, the study examines three points that require review and the grounds for judging each. It argues that AI-generated images can make a learner’s reading visible rather than serve as objects of quality assessment, and that identifying discrepancies and explaining their grounds is itself classical literacy at work. This approach offers a starting point for the design and assessment of AI-assisted classical Chinese literature education.

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