In 2026, John set out to find the most challenging AI assessment scenarios in higher education and approach them with the latest research on how students learn to determine where AI can enhance today's assessments and where it harms or falls short of traditional assessment.
What resulted was a fascinating look at the state of AI assessment today, and what faculty should know if they are considering or already using AI assessment in their classroom. Topics include:
- The four kinds of AI Assessment and principles for each.
- Breaking down assessments to avoid attention failure.
- Building AI-appropriate rubrics.
- Setting the appropriate "friction" level for students.
- Using the right evidence in the design and continuous improvement of your assessments.
The goal of this session is to share widely applicable principles regardless of what tools one is using in their classroom.
