The AI Academic Integrity Toolkit: Designing Ethical and Reflective Assessment Practices in the Age of AI

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Rahme Sadikoglu, Anglia Ruskin University London, United Kingdom

Abstract

This paper presents the AI Academic Integrity Toolkit, an open educational resource designed to support lecturers in embedding ethical and reflective AI use within assessment design and feedback. Building on the AI-Enabled Academic Integrity (AIAI) Framework (Visin, 2025), the Toolkit translates its four pillars, Ethical Access, Critical Competence, Reflexive Transparency and Educational Value, into assessment-oriented design principles. The Toolkit was developed through reflective engagement with academic integrity review processes, review of institutional policy guidance and ongoing professional discussions with educators. The Toolkit provides adaptable assessment models, suggested assessment brief language, reflection prompts and feedback resources aligned with principles of constructive alignment (Biggs & Tang, 2011) and an educative understanding of academic integrity (Bretag, 2013). Designed for potential application across undergraduate and postgraduate contexts, it aims to clarify boundaries around responsible AI use, promote student reflection and support educators in evaluating AI-assisted work. The Toolkit is presented as a design-based contribution intended to support pedagogical implementation and future evaluation, rather than as a report of empirical outcomes. By reframing integrity as an educational rather than a compliance-based practice, the Toolkit contributes an adaptable, theoretically grounded approach to integrating AI literacy and ethical reflection within higher-education assessment practices.

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• Category: Design, Implementation & Assessment of Innovative Technologies in Education

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