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Integration of an AI-Powered Feedback System for Formative Assessment at the Open University Malaysia

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Abstract
This study explores the integration of an AI-powered feedback system within Open University Malaysia’s assessment ecosystem to enhance formative assessment in Open and Distance Learning (ODL). Implemented across 12 first-semester courses, the system provided timely, personalised, and constructive feedback on student assignments. Findings from student surveys indicated high satisfaction and intention to reuse the system. The results underscore the system’s effectiveness in supporting self-regulated learning and reducing instructors’ workload, marking a significant innovation in digital assessment practices.
Subject
Artificial Intelligence (AI) , Assessment , Open and Distance Learning (ODL)
Country
Malaysia
Region
Asia
DOI
https://doi.org/10.56059/jl4d.v12i3.1880
Handle
https://hdl.handle.net/11599/6077
Rights
https://creativecommons.org/licenses/by-sa/4.0/
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Link
https://jl4d.org/index.php/ejl4d/article/view/1880
Date
2025-11-18
Author
Subramaniam, Nantha Kumar , Raghavan, Santhi
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Corporate Author
Editor
Panda, Santosh
Publisher
Commonwealth of Learning (COL)
Series
Journal of Learning for Development; vol. 12, no. 3
Journal
Research Projects
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