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
Building similarity graph...
Analyzing shared references across papers
Loading...
Victoria Eibinger
Hannes Fromm
Margit Reitbauer
ExELL
Building similarity graph...
Analyzing shared references across papers
Loading...
Eibinger et al. (Thu,) studied this question.
www.synapsesocial.com/papers/6975b1cefeba4585c2d6d45d — DOI: https://doi.org/10.51558/2303-4858.2025.13.2.159
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: