UTC +1
90 minutes
SR 2
This interactive workshop supports dental educators in moving beyond the simplistic "ban versus allow" debate by exploring practical and context-sensitive approaches to AI use in assessment. Participants will examine how current assessment practices are affected by generative AI and discuss how assessment design can evolve to maintain fairness, transparency, and educational value.
Through short expert inputs, group discussions, and hands-on activities, participants will map common AI use cases and classify scenarios as acceptable, acceptable with disclosure, or not acceptable. The core activity will involve a guided assessment redesign exercise, where participants adapt an existing assessment using AI-aware strategies such as evidence trails, reflective justification, oral probing, and disclosure expectations.
Participants will leave with practical tools - including policy wording, student guidance templates, and an assessment redesign checklist - to support responsible and transparent
integration of AI in dental education.
- Introduction and Workshop structure
- Group discussions on current assessment methods, the influence of GenAI and the related challenges
- Presentation of a practical framework for designing assessments that balance academic integrity with AI literacy
- Hands-on practice: re-design assessments
- Conclusions and take-away messages
Participants will learn to:
- Identify and critically evaluate common uses of AI in dental education, distinguishing between acceptable, restricted, and problematic applications in assessment contexts.
- Design AI-aware assessment tasks that maintain academic integrity while supporting meaningful learning, critical thinking, and educational value.
- Develop and apply guidelines to design AI-resilient and AI-collaborative assessments that ethically integrate AI tools while preserving academic integrity.





