A Comparative Study of EFL University Students’ Perceptions of ChatGPT-Based Self-Feedback and Traditional Teacher Feedback in Process-Oriented Writing Across Proficiency Levels
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.
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Lee Yuhwa [ 이유화 | Gyeongsang National University ]