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Research Article: Special Section
ChatGPT-Assisted Approach to Redundancy Reduction: Pedagogical Implications for Information Compression in Advanced EFL Writing
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- 발행기관
- 아시아영어교육학회 바로가기
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- 간행물
- The Journal of AsiaTEFL SCOPUS KCI 등재 바로가기
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- 통권
- Vol.23 No.2 (2026.06)바로가기
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- 페이지
- pp.474-490
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A486781
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5,100원
원문정보
초록
- 영어
- Producing concise and rhetorically effective prose is an essential skill in academic writing. This task, however, poses a particular challenge for EFL learners, as it involves various procedures for eliminating redundancy, ranging from simple lexical adjustments to the use of highly complex grammatical structures such as reduced relative clauses or elliptical concessive constructions (e.g., though not perfect). While a key objective is to compress information without sacrificing textual clarity, many EFL learners lack the requisite knowledge and skills, possibly because this area has received little attention in formal educational contexts. Drawing on 59 essays written by advanced Japanese EFL learners, this study identifies the major sources and patterns of redundant expressions and examines the potential of generative AI (GenAI) to support learners’ revision processes. The findings indicate that even advanced learners often fail to detect redundancy arising from seemingly simple repetition of lexical items and propositional content, and that these difficulties are closely associated with challenges in reconceptualizing sentence-level components as discourse-level elements. The study further demonstrates that carefully designed AI prompts, informed by linguistic research, can serve as an effective pedagogical tool to help learners identify and resolve redundancy-related issues.
목차
Abstract
Introduction
Literature Review
Syntactic Strategies for Information Compression
AI-Mediated L2 Instruction
Methodology
Data and Analysis
Creation and Evaluation of AI Prompts
Results and Discussion
RQ1. Types and Sources of Redundancy in EFL Writing
RQ2. Procedures for ChatGPT-Based Instruction
Evaluation of AI Prompts
Conclusion
The Author
References
키워드
L2 writing redundancy syntactic compression AI prompt AI-mediated instruction advanced L2 learners저자
간행물 정보
발행기관
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- 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
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- 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
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