The Academic Integrity problem most institutions still haven't solved.
90% of college students use AI in their academic work. 73% used more of it this year than last. And fewer than 4 in 10 institutions have an AI-use policy their faculty can actually apply.
The academic integrity platforms that most campuses inherited weren't built for where higher ed is today. They flag too much. They flag the wrong things. They monitor students instead of supporting faculty judgment. And they leave administrators refereeing disputes they don't have the data to settle.
This webinar gives you a clearer way forward. We'll walk through a four-question framework you can use to evaluate academic integrity software — what to ask, what to push back on, and what a better experience looks like inside Canvas.
Speakers
Aimee Hedges
What you'll take away.
- Why side-by-side source comparison is replacing keystroke logging as the new standard for AI detection.
- How trend-level analytics surface patterns a single assignment score can't reveal.
- What real faculty onboarding, named account management, and 20-year historical data migration look like in practice.
- How a Canvas-native experience changes the day-to-day for faculty, students, and academic integrity officers.