Virtual Booth

Abstract for Project

 ENHANCING ESL ACADEMIC WRITING USING CHATGPT-GENERATED CORRECTIVE FEEDBACK: A REVISION-FOCUSED INNOVATION

Ezzan Amnie Binti Azizan

Kulliyah of Education, International Islamic University Malaysia (IIUM)

Faculty of Education, Social Sciences and Humanities, University Poly-Tech Malaysia (UPTM)

[email protected]

Prof. Dr. Ainol Marziah Binti Zubairi

Kulliyah of Education, International Islamic University Malaysia (IIUM)

[email protected]

ABSTRACT   

Many ESL undergraduates in Malaysian higher education face persistent challenges in academic writing, especially in developing clear thesis statements, organising arguments, and revising effectively. Traditional teacher feedback is often delayed and constrained by large class sizes, limiting individualised guidance. This innovation integrates ChatGPT-generated corrective feedback into the revision stage of argumentative writing. Using a repeated measures design, students submitted an initial draft (A1), received AI-generated, rubric-aligned feedback, and revised their work (A2). The intervention led to noticeable improvements in thesis clarity, logical structure, coherence, and grammatical accuracy. Students also reported higher motivation and confidence during revision. This approach is cost-effective, scalable, and supports SDG 4: Quality Education. It holds strong potential for integration into LMS platforms, MOOCs, and institutional writing support systems. Ultimately, this innovation contributes to student-centred writing instruction, empowering ESL learners to become more independent, responsive, and effective academic writers.

Keywords: ChatGPT, ESL writing, corrective feedback, revision stage, student engagement