AI can be integrated into assessment in different ways depending on the role AI plays in the learning task.

When AI tools are permitted or integrated into assessment, transparency becomes an important mechanism for maintaining valid, reliable, and fair assessment. Find out how to make the learning process visible with practical formats.

Lane 2 assessments are unsupervised; students may use generative AI at their discretion. Often the outcomes stay the same—what changes are the task design and criteria that govern permitted AI use and still allow students to evidence those outcomes.

Building your own AI literacy is the first step toward using GenAI responsibly and confidently in your teaching. These resources help you do it.

If an existing assignment is vulnerable to being completed largely with AI, the goal is not necessarily to remove the assignment entirely. Instead, consider whether the assessment can be adapted so that students still need to demonstrate the intended learning outcomes.

Assessment formats that verify independent mastery.

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.

How can we design assessments that maintain integrity and foster learning in the GenAI era? Which learning outcomes must students demonstrate independently, and which involve responsible use of AI tools?

GenAI has made unsupervised written assignments more vulnerable. In this article, you will learn if and how you can convert a written assignment in your course into an on-site exam.

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