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Research Article: Special Section

Learner Corpus Research in the AI Era: Asian Perspectives on Corpus Evidence, Human Judgement, and Pedagogical Innovation

첫 페이지 보기
  • 발행기관
    아시아영어교육학회 바로가기
  • 간행물
    The Journal of AsiaTEFL SCOPUS KCI 등재 바로가기
  • 통권
    Vol.23 No.2 (2026.06)바로가기
  • 페이지
    pp.322-327
  • 저자
    Chae Kwan Jung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486772

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원문정보

초록

영어
The rapid rise of generative artificial intelligence is challenging key assumptions in learner corpus research. As learners increasingly use AI to draft, translate, revise, and receive feedback, learner language can no longer be understood simply as unaided human production. This special session, Learner Corpus Research in the AI Era: Perspectives from Asia, explores how learner corpora are being reconceptualized across Asian contexts as evidence of interlanguage development, benchmarks for AI evaluation, and pedagogical resources for AI-mediated language learning. The contributions examine how national learner corpus traditions are responding to new technologies; how learner-produced and AI-generated texts differ in lexical, cohesive, phraseological, and discourse features; and how AI can support corpus compilation, annotation, transcription, feedback, and writing instruction while preserving human linguistic judgement. Drawing on studies from Japan, Korea, China, Hong Kong, Taiwan, Indonesia, and broader Asian learner datasets, the session highlights the continuing value of carefully designed corpora, transparent metadata, human-in-the-loop validation, and pedagogically grounded interpretation. It argues that Asian learner corpus research is entering a new phase in which authenticity, comparability, scalability, and ethical use must be reconsidered together.

목차

Abstract
Introduction
Historical and Regional Foundations of Asian Learner Corpus Research
Japanese Learner Corpus Research and the Historical Turn Toward AI
Korean EFL Learner Corpus Research Over Two Decades
Learner-Produced, Human-Produced, and AI-Generated Language
Corpus Visualization of Learner and AI-Generated Essay
Lexical Bundles in L1 and Taiwanese L2 Undergraduate Writing
Indonesian EFL Learners and AI-Generated Argumentative Writing
GenAI, Learner Translation, and Textual Cohesion
AI as Corpus Infrastructure: Annotation, Transcription, and Validation
A Human-in-the-Loop Framework for Chinese Learner English Annotation
Automatic Speech Recognition (ASR) and Scalable Spoken Learner Corpus Development
Pedagogical Innovation, Learner Agency, and AI Literacy
ChatGPT-Assisted Redundancy Reduction in Advanced Japanese EFL Writing
Conclusion
Acknowledgements
The Author
References

키워드

Learner corpus research generative AI AI-mediated language learning corpus annotation and analysis Asian EFL/ESL contexts

저자

  • Chae Kwan Jung [ Incheon National University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    아시아영어교육학회 [Asia TEFL]
  • 설립연도
    2004
  • 분야
    사회과학>교육학
  • 소개
    The goals of Asia TEFL are to promote scholarship, disseminate information, and facilitate cross-cultural understanding among persons concerned with the teaching and learning of English in Asia. In order to accomplish this, Asia TEFL will pursue the following goals: 1. To link ELT professionals in joint research on issues and concerns regarding English teaching and learning in the Asian context. 2. To publish an academic journal, The Asia TEFL Journal, as an internationally recognized journal in the field of English language teaching. 3. To host conferences and seminars addressing important issues concerning ELT in Asia. 4. To develop proficiency guidelines and assessment methods designed for the needs of the Asian context. 5. To develop programs for Asian learners and teachers of English to build their English language proficiency and cultural understanding and provide them with the skills required to be efficient English teaching professionals.

간행물

  • 간행물명
    The Journal of AsiaTEFL
  • 간기
    계간
  • pISSN
    1738-3102
  • eISSN
    2466-1511
  • 수록기간
    2004~2026
  • 등재여부
    SCOPUS,KCI 등재
  • 십진분류
    KDC 740 DDC 420

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