The evidence layer
Good assessment produces evidence about learners, curriculum, faculty practice, and institutional readiness. AI can help structure that evidence only when the workflow is designed for it.
Assessment intelligence
When assessment captures evidence and feeds improvement, it becomes infrastructure for institutional learning.
Assessment is one of the highest-leverage places to turn AI from a tool into an institutional intelligence capability.
Good assessment produces evidence about learners, curriculum, faculty practice, and institutional readiness. AI can help structure that evidence only when the workflow is designed for it.
AI-native assessment shifts attention from one-time grading toward richer feedback, rubric evolution, and longitudinal capability maps.
Assessment intelligence must include transparent criteria, human review, privacy boundaries, and documented improvement pathways.
Related content
Framework
A model for redesigning assessment as evidence infrastructure for AI-native institutions.
Program
Resonance with AI enables faculty and universities to redesign learning and research with AI-native methods.
Insight
Capability building should create repeatable intelligence behaviors, not only awareness of AI features.
Strategic engagement