Blog
Research, product updates, and perspectives on the future of assessment in higher education.
A comprehensive analysis of AI content detection methods, their accuracy rates, and how universities can build robust academic integrity frameworks.
New research shows that rubric-aligned AI marking reduces inter-rater variability by 45% compared to traditional approaches.
Seamless grade sync, single sign-on, and embedded marking workflows are now available for Canvas institutions.
Data from our first year reveals patterns in how AI-assisted feedback improves student outcomes across disciplines.