AI-supported feedback for lifelong learning and educability

Authors

  • Tina Dang University of New South Wales
  • George Joukhadar University of New South Wales
  • Yuchao Jiang University of New South Wales
  • Zixiu Guo University of New South Wales

DOI:

https://doi.org/10.65106/apubs.2025.2659

Keywords:

AI feedback system, feedback literacy, educability, higher education, action design research

Abstract

The purpose of this study is to investigate how an AI-powered feedback tool can be effectively designed to enhance both student and educator feedback literacy, with the broader goal of supporting educability in higher education. Adopting an action design research (ADR) approach, the study will be piloted in classroom settings across two trimesters at a large higher education institution in Australia in the later half of 2025. The tool is designed to assist educators in transforming their formative reflections into detailed, personalised feedback, and any findings during the study will inform the iterative development of the tool to align with contemporary pedagogical principles. Although the interviews and classroom pilots are yet to commence, the design-based research methodology allows early engagement with literature and problematisation, allowing the research team to co-design and refine feedback features in a starting prototype.

 

 

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Published

2025-11-28

Issue

Section

ASCILITE Conference - Concise Papers

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