Proving mastery in the age of AI: designing assessment for what comes next

October 29, 2026

9:00 am MT/ 11:00 am ET

AI can produce a polished essay, a working block of code, or a convincing answer. So the finished product tells you less and less about what a student actually knows. That's not just a classroom problem. It reaches your integrity policy, your program assessment, and the evidence you put in front of accreditors.

The answer isn't pulling AI out of learning. It's deciding, at the institution level, what students must prove on their own and what they should do better because they have AI — then building assessment that gathers both kinds of evidence. Join Instructure and Constructor Tech as we move the conversation from "How do we stop AI?" to "How do we design assessment so mastery still means something when AI is everywhere?"

You'll leave with frameworks you can take to your assessment committee, plus a live look at Constructor Proctor and a preview of where Constructor Assess is heading.

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What you'll take away.

A framework for sorting which outcomes students prove independently and which they prove with AI
The case for why a correct answer or a polished final product no longer holds up as evidence of mastery
Criteria for setting AI policy assessment by assessment, instead of one blanket rule
Ways to capture process, reasoning, judgment, and application as evidence your programs can report on
A live look at Constructor Proctor building trusted independent checkpoints inside your Canvas by Instructure workflows, and where Constructor Assess goes next

Built for the leaders who set assessment strategy, integrity policy, and learning technology direction — and for the faculty and design teams who put that strategy to work.