Abstract

This research-in-progress paper explores the design of an AI-powered feedback system aimed at enhancing feedback literacy and educability in higher education (HE). While Artificial Intelligence (AI) offers new opportunities for delivering timely and scalable feedback, existing tools often lack pedagogical depth, emotional sensitivity, and human oversight. Drawing on feedback literacy theory, which emphasises appreciation, judgement, affect, and action, as well as the concept of educability, this study proposes a human-AI-human feedback framework that positions AI as a collaborative partner rather than a replacement for educators. Using an Action Design Research (ADR) methodology, the research investigates how AI-generated feedback can be co-designed with educators to improve student engagement, promote shared responsibility, and support lifelong learning. The system is being piloted in undergraduate classrooms at a large Australian university, with the aim of generating practical design principles and theoretical insights into the use of AI in feedback delivery.

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