Generative AI can support student learning, but in some assessments you must be sure that students can reason, communicate and perform tasks independently of AI. This page explains when AI should be excluded from assessment and where you can get support. A balanced assessment strategy usually combines several formats to assess different learning outcomes, while supporting accessibility and fairness.
Supervised assessment (Lane 1) applies when students must demonstrate knowledge, reasoning or skills without relying on AI. The focus is not on “AI-proofing” tasks, but on verifying independent mastery of key learning outcomes. Students may use AI during preparation (if your course allows this), but the assessment itself must let you confirm that the performance reflects their own understanding and skills. These questions help you determine whether supervised assessment is necessary.
Start with the learning outcomes of your course. Lane 1 is particularly appropriate when you assess:
Key principle: the lecturer can directly observe or verify the student’s reasoning, knowledge, or performance—through supervision, oral interaction, real-time performance, or other forms of verification.
If the answer to one or more of these questions is yes, the assessment likely belongs in Lane 1. You can also use the GenAI and Assessment Checklist to analyse the assessment structure of your course.
Via TLC Contact you can contact your faculty’s assessment specialists. You can discuss potential changes to your assessment with them. You can also seek advice from the assessment specialists at TLC Central (tlc@uva.nl).
Inform your programme director when making significant changes so that potential risks and adjustments can be considered at programme level.

