Iterative refinement: Using the generative AI chatbot Copilot as a feedback tool – Evidence from the ELT classroom

Recent advances in artificial intelligence have opened the door to new applications in the teaching of writing. This article addresses a current research gap by combining automated AI-based feed-back, provided by Microsoft Copilot, with teacher feedback and student self-correction. The present study investigates the effec-tiveness of AI-assisted feedback on EFL students’ writing skills. Data were collected from 41 university students. The feedback from Copilot and the subsequent revisions made by students were analysed using MAXQDA according to categories such as genre conventions, accuracy, lexical scaffolding, and content. Results suggest that considerable improvements in writing skills, espe-cially in the areas of lexical scaffolding and line of argumentation, can be achieved through AI-assisted feedback

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Publication Details

Journal
ExELL
Published
2026-01-22
DOI
https://doi.org/10.51558/2303-4858.2025.13.2.159
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Iterative refinement: Using the generative AI chatbot Copilot as a feedback tool – Evidence from the ELT classroom

Hannes Fromm, Margit Reitbauer, Victoria Eibinger
ExELL
AI in Service Interactions
article

Iterative refinement: Using the generative AI chatbot Copilot as a feedback tool – Evidence from the ELT classroom

Hannes Fromm, Margit Reitbauer, Victoria Eibinger
article en

Abstract

Recent advances in artificial intelligence have opened the door to new applications in the teaching of writing. This article addresses a current research gap by combining automated AI-based feed-back, provided by Microsoft Copilot, with teacher feedback and student self-correction. The present study investigates the effec-tiveness of AI-assisted feedback on EFL students’ writing skills. Data were collected from 41 university students. The feedback from Copilot and the subsequent revisions made by students were analysed using MAXQDA according to categories such as genre conventions, accuracy, lexical scaffolding, and content. Results suggest that considerable improvements in writing skills, espe-cially in the areas of lexical scaffolding and line of argumentation, can be achieved through AI-assisted feedback

ExELL
Quality Education
Openalex Percentile: Top 81%
AI in Service Interactions
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