Teacher and AI Feedback in IELTS Writing Task 2: Scoring Alignment, Learner Engagement, and Writing Development in a Mixed-Methods Study Lee, Mi Ran Graduate School of English Education Major Hankuk University of Foreign studies This mixed-methods stu...
Teacher and AI Feedback in IELTS Writing Task 2: Scoring Alignment, Learner Engagement, and Writing Development in a Mixed-Methods Study Lee, Mi Ran Graduate School of English Education Major Hankuk University of Foreign studies This mixed-methods study examined the effects of teacher-generated and AI-generated feedback on IELTS Writing Task 2 performance and learner engagement in an adult EFL context. 34 Korean IELTS candidates participated in a four-week intervention in which teacher feedback and AI feedback were alternated. Quantitative analyses of pre- and post-test scores and analytic criteria revealed that both feedback types supported significant writing improvement, though in different ways. Teacher feedback was more strongly associated with gains in Task Response and Coherence and Cohesion, while AI feedback was linked to improvements in Lexical Resource and Grammatical Range and Accuracy. Although AI tended to assign higher scores, both feedback sources showed similar developmental patterns over time. Qualitative findings indicated that effective revision depended on learners’ feedback literacy rather than feedback source alone. The study provides empirical evidence on the pedagogical role of AI feedback in high-stakes L2 writing contexts.