What Should Assessment Become?
As AI makes it easier to generate polished assignments, a finished product no longer reveals what a student truly understands. To measure meaningful capability, assessment must shift from grading final outputs to evaluating how students reason, adapt, and make critical decisions along the way.
From Teaching Content to Cultivating Capability
When AI can explain, summarize, and suggest solutions on demand, what should colleges help students learn? Knowledge remains essential, but access to information is only a beginning. Higher education must also help students evaluate evidence, practice decisions, and apply what they know with care. This post explores a shift from teaching content alone toward cultivating capability.
Designing Assignments That Keep Students Thinking
AI can generate information. Learning happens when students evaluate it. Rather than trying to design assignments that prevent AI use, faculty can design assignments that make student thinking visible. The goal isn't to outsmart AI, it's to create opportunities for students to explain, justify, evaluate, and apply their thinking in ways that reflect genuine learning.
What Counts as Evidence of Learning?
AI is forcing a question that higher education has been able to avoid for a long time: What actually counts as evidence that learning happened? Because for years, many assignments have focused heavily on the final product: