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Lexical Bundles in Indonesian EFL Learners’ Argumentative Essays vs. AI-Generated Argumentative Texts : A Comparative Corpus-Based Analysis

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.388-408
  • 저자
    Ikmi Nur Oktavianti, Icuk Prayogi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486777

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원문정보

초록

영어
Lexical bundles play an important role in supporting fluency, coherence, and rhetorical clarity in academic writing. Their use is particularly relevant in argumentative essays, where writers must present claims, organize ideas, and maintain cohesive argumentation. Although previous research has examined lexical bundles in learner writing, limited work has compared learner-produced bundles with those found in AI-generated texts, despite the increasing use of artificial intelligence in educational settings. This study investigates the lexical bundles used in argumentative essays written by Indonesian EFL learners and compares them with bundles appearing in AI-generated texts. The objective is to identify the most frequently used bundles in each corpus, examine their structural and functional patterns, and describe the differences observed. A corpus-based comparative method was employed, drawing on two datasets: a learner corpus of university student essays and an AI-generated corpus produced by DeepAI and SuperAI. Lexical bundles were identified and categorized by structure (NP-based, VP-based, PPbased, others) and function (research-oriented, text-oriented, and participant-oriented). Frequency and distribution measures were also calculated. The findings show that the two corpora differ in their most frequent bundles, structural compositions, and functional distributions, with each corpus displaying distinct patterns of lexical bundle use in argumentative writing.

목차

Abstract
Introduction
Literature Review
Lexical Bundles
Lexical Bundles in Academic Writing
AI and Academic Writing
Lexical Bundles in AI Era
Methodology
Research Design
Data Collection
Data Processing
Lexical Bundle Identification
Data Analysis
Findings
Lexical Bundles in Learner Corpus and AI Corpus
Findings From AI-Generated Essays
Structural and Functional Patterns of Lexical Bundles in Learner Corpus and AI Corpus
Discussion
Pedagogical Implications
Conclusion
The Authors
References

키워드

AI-generated texts EFL writing Indonesian learners learner corpus lexical bundles

저자

  • Ikmi Nur Oktavianti [ Universitas Ahmad Dahlan, Indonesia ]
  • Icuk Prayogi [ Universitas PGRI Semarang, Indonesia ]

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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