Earticle

현재 위치 Home

Research Article: Special Section

Learning From AI’s Pen : Using Corpus Data as a Lens to Promote Attention and Learning From Patterns of Language in AI-Generated Text

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.328-348
  • 저자
    Stephen Jeaco, Angela Xia
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486773

※ 기관로그인 시 무료 이용이 가능합니다.

5,700원

원문정보

초록

영어
While AI technologies have transformed the processes adopted by language learners to produce and revise academic writing, more approaches are needed to promote understanding of text patterns and linguistic features of GenAI texts so learners can engage with language skill development and maintain control as novice authors of academic texts. The current study presents a fusion of corpus methods (embedded in a free Windows/macOS tool), facilitating researchers, teachers and students in hands-on, interactive, comparative analysis of essays created by students and essays on the same topics created through GenAI tools. To demonstrate the feasibility of the approach, we analysed 2003 university level argumentative essays on 26 topics, alongside 546 AI-generated essays (21 essays per topic), focussing on four essays from one randomly selected topic for exemplification. The methods highlight notable strengths of AI-generated texts, including broad vocabulary profiles, balance between maintaining lexical focus and avoiding repetition, and rich collocational relations. By visually representing the roles of vocabulary items in text-level contexts, the tool provides a new approach for English for Academic Purposes teachers and students to engage with data patterns in the texts they have produced with and without GenAI, with potential to aid detection, identification, reflection and ultimately production.

목차

Abstract
Introduction
Literature Review
AI Application in Academic Writing
Studies About GenAI-Generated Writings
Data-Driven Learning and Teaching
Lexical Features of Text
Purpose of the Present Study
Method
Description of the Corpora
Data Processing
Case Study of Four Essays
Results and Discussion
Vocabulary Level Identification
Keyword Identification
Collocation Identification
Conclusion
The Authors
References
Appendix

키워드

Data driven learning GenAI tools vocabulary profiling collocation

저자

  • Stephen Jeaco [ Xi'an Jiaotong-Liverpool University ]
  • Angela Xia [ Xi'an Jiaotong-Liverpool 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

이 권호 내 다른 논문 / The Journal of AsiaTEFL Vol.23 No.2

    피인용수 : 0건 (자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      출처 : 네이버학술정보

        0개의 논문이 장바구니에 담겼습니다.

        페이지 저장
        소속기관 조회
        이용자님의 소속기관(단체)이 서비스에 가입되어 있는지 확인해 보십시오.
        기관회원에 소속되어 있는 이용자는 원문을 무료로 이용할 수 있습니다.