Lane 1: Supervised assessment

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.

Independent mastery of key learning outcomes

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.

When should AI be excluded from assessment?

Start with the learning outcomes of your course. Lane 1 is particularly appropriate when you assess:

  • language proficiency
  • conceptual understanding and disciplinary knowledge
  • disciplinary reasoning and argumentation
  • methodological decision-making
  • analytical or evaluative thinking
  • professional or practical skills.

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.

Advice or support, get in touch!

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.