AI-Driven Tools in Providing Feedback on Students’ Writing

Chu Hui Youn, Abdul Rahim Salam and Aida A. Rahman
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Chu Hui Youn: Faculty of Educational Sciences & Technology, University Teknologi Malaysia
Abdul Rahim Salam: Faculty of Educational Sciences & Technology, University Teknologi Malaysia
Aida A. Rahman: Faculty of Educational Sciences & Technology, University Teknologi Malaysia

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3s, 58-67

Abstract: Artificial Intelligence (AI) has seen substantial progress in recent years, establishing itself as a crucial element in diverse sectors, particularly education. Providing feedback is one of the key areas where AI has made a notable impact, and it is essential for fostering students’ learning, particularly in developing writing skills. Feedback in writing represents a critical component of effective teaching practices, and AI introduces innovative approaches to enhance its delivery and impact. This systematic review rigorously examines the existing body of literature on the use of AI in educational feedback systems. By synthesizing findings from scholarly research, the review explores the effectiveness, challenges, and prospects of AI-driven feedback mechanisms. The studies illustrate the potential of AI to deliver personalized, timely, and constructive feedback while also addressing challenges such as integrating AI tools into diverse pedagogical contexts and their applicability across various educational levels. Furthermore, the review identifies significant gaps in the current literature and suggests directions for future research to optimize AI-powered feedback for improving students’ writing abilities. This study aims to serve as a valuable resource for educators, researchers, and policymakers striving to harness the potential of AI in enhancing feedback practices.

Date: 2025
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