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A Comparative Study of EFL University Students’ Perceptions of ChatGPT-Based Self-Feedback and Traditional Teacher Feedback in Process-Oriented Writing Across Proficiency Levels

첫 페이지 보기
  • 발행기관
    한국언어과학회 바로가기
  • 간행물
    한국언어과학회 학술대회 바로가기
  • 통권
    한국언어과학회 2026년 겨울학술대회 (2026.02)바로가기
  • 페이지
    pp.83-84
  • 저자
    Lee Yuhwa
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A480346

원문정보

초록

영어
The rapid integration of generative artificial intelligence into educational contexts has prompted increasing interest in its potential role in second language writing instruction. This study explores English as a Foreign Language (EFL) university learners’ perceptions of ChatGPT-based self-feedback in comparison with conventional offline teacher feedback, with particular attention to differences across learner proficiency levels. The participants consisted of first-year university students enrolled in an academic writing course, who were divided into a lower-proficiency group (n = 137) and an intermediate-proficiency group (n = 50). Employing a mixed-methods research design, the study examined learners’ overall perceptions of feedback, their preferences for feedback sources, and their prompt patterns of interaction with ChatGPT within a process-oriented writing framework. Quantitative survey data were complemented by qualitative analyses of learners’ written responses and the prompts they used when engaging with ChatGPT for self-feedback during multiple stages of writing revision. The results revealed that learners in both proficiency groups demonstrated generally positive attitudes toward both ChatGPT-based self-feedback and teacher-provided feedback. Across proficiency levels, the immediacy, accessibility, and convenience of ChatGPT were consistently identified as its most salient advantages, enabling learners to revise their writing efficiently and maintain sustained engagement throughout the writing process. However, notable proficiency-related differences emerged in feedback preferences. Intermediate-level learners exhibited a stronger preference for teacher feedback, emphasizing the value of instructors’ professional expertise, interpretive guidance, and discourse-level comments that extended beyond surface-level language issues. In contrast, lower-level learners expressed a preference for a combined feedback approach that integrated ChatGPT-based self-feedback with traditional teacher feedback. This preference reflects their need for complementary support, in which immediate AI-generated assistance helps address linguistic difficulties while teacher feedback provides authoritative validation and direction. Further analysis of ChatGPT interaction prompts indicated that learners primarily utilized the tool for local-level linguistic support, including grammar correction, vocabulary choice, and sentence-level refinement, rather than for higher-order writing concerns such as organization, argument development, or rhetorical effectiveness. Importantly, the findings also suggest that the pedagogical effectiveness of AI-based feedback is closely associated with learners’ metacognitive awareness and their ability to design effective prompts. Learners who demonstrated greater awareness of their writing needs and more strategic prompt use appeared to benefit more substantially from ChatGPT-based feedback. These results highlight the potential of AI-assisted feedback as a supplementary tool in EFL writing instruction, while underscoring the continued importance of teacher feedback and the need for explicit guidance in developing learners’ prompt-design and self-regulation skills.

목차

요약:

저자

  • Lee Yuhwa [ 이유화 | Gyeongsang National University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국언어과학회 [The Korean Association of Language Sciences]
  • 설립연도
    1993
  • 분야
    인문학>언어학
  • 소개
    한국언어과학회는 인간 사고에 대한 궁극적인 이해를 모태로 하여 그에 대한 구체적인 방법론을 제시하고, 인간 삶의 바람직한 사회적 행위를 이해하고 개선하는데 필요한 인간 중심의 언어학을 목표로하며, 언어의 이론적 연구와 그 응용을 목적으로 한다.

간행물

  • 간행물명
    한국언어과학회 학술대회
  • 간기
    반년간
  • 수록기간
    2001~2026
  • 십진분류
    KDC 705 DDC 405

이 권호 내 다른 논문 / 한국언어과학회 학술대회 한국언어과학회 2026년 겨울학술대회

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