Source: Insidehighered
When a computer science class's take-home midterm average plummeted from 96% to 48.6% on a proctored final, it showed how AI has infiltrated academic integrity at elite institutions—not as speculation, but as measurable behavioral data. The gap demonstrates that students have internalized AI as a cognitive tool they expect to access, and that traditional assessment structures (unmonitored, open-book) now misrepresent competency in an AI-available world. Universities face a choice: redesign education around real-time demonstration of understanding, or accept that credentials from take-home assessments no longer signal actual competency.