Effectiveness of AI-Based Corrective Feedback in Improving Academic Writing Skills of IELTS Candidates

Abstract

The main objective of this research is to explore the impact of corrective feedback that is in the use of artificial intelligence in enhancing the performance of IELTS prospective candidates in Lahore. The present study employed a mixed-methods research approach involving 30 IELTS candidates who used AI-based tools, including Grammarly and Writefull, to provide them auto feedback on their writing tasks for six weeks. The quantitative data was obtained through the pre and post- test scores. The qualitative data was obtained through interviews. The study establishes a clear demonstration of a positive effect in candidate’s grammar, their use of appropriate terms and the overall quality of their writing coherence and cohesion. The participants expressed their ability to modify their work independently using AI feedback with greater self-directedness. However, concerns including absence of the context-based recommendations and excessively strong reliance on certain AI technologies as potential pitfalls were raised. The findings of the study reveal that corrective feedback that is based on AI is useful in the improvement of students’ academic writing.