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, analysis of institutional policy guidance, and iterative consultation with academic practitioners within higher education. The Toolkit provides adaptable assessment templates, marking rubrics, and reflection models aligned with principles of constructive alignment (Biggs & Tang, 2011) and integrity as pedagogy (Bretag, 2016). 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 future pedagogical implementation and evaluation, rather than as a report of empirical outcomes. Future work will explore institutional piloting to inform subsequent evaluative study. By reframing integrity as an educational rather than compliance-based practice, the Toolkit contributes a scalable, theoretically grounded approach to integrating AI literacy and ethical reflection within higher-education assessment practices.

Authors:
Rahme Sadikoglu, Anglia Ruskin University London, United Kingdom

About the Presenter(s)
Dr Rahme Sadikoglu, Lecturer at Anglia Ruskin University London, explores academic integrity, AI ethics, and inclusive pedagogy through a sociological and journalistic lens, focusing on culture, belonging, and postdigital education.

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