The Effectiveness of AI-Powered Corrective Feedback on Students' Writing Performance

Abstract

The objective of current research is to aanalyze the use of artificial intelligence (AI) in providing written corrective feedback for students on their essay writing. This study examines the effectiveness of AI-powered corrective feedback on students' writing performance in terms of its accuracy, pedagogical impact, and students' engagement. The study adopts a mixed-methods approach in order to explore students’ writing development following AI-created feedback. Data were gathered from pre-and postwriting assessments, student surveys, and teacher evaluations in order to determine whether AI-driven feedback improves the quality of grammar, coherence, and overall writing proficiency. The results highlighted how AI-based feedback raises students’ writing by providing immediate, tailored and stable corrections for enabling selfregulated learning. Yet, issues with contextual inaccuracies, over-reliance on AI, and lack of nuanced feedback for more complex writing elements are also covered. The study recommends that the valuable perspectives can be received on how pedagogical approaches can benefit from both AI-based feedback tools.