Professor at Brown University switches to closed-book exam, class average plummets from 96% to 48%
Decision Brief
What changedAn economics professor at Brown University, suspecting AI cheating, replaced online open-book exams with in-person closed-book ones, causing the class average to drop from 96% to 48.6%.
Why it mattersThis evidence suggests that over-reliance on AI for homework severely undermines actual ability, as seen in exam score collapses.
Who should careAll AI builders
Affected stackNo specific stack identified
Source confidenceMedium · Reliable media or first-hand reporting
A Brown University economics professor found that 86 students averaged 96% on an online open-book exam, leading him to suspect AI cheating. After switching to an in-person closed-book final, 18 students withdrew, 9 were absent, and the average of remaining students plummeted to 48.6%. Two large studies from China and UC Berkeley support this: students relying on AI for assignments perform significantly worse on proctored exams. For educators, this case highlights the need to redesign assessments, such as adding in-person or closed-book components, to truly evaluate learning. For students, over-dependence on AI can lead to weak knowledge retention and poor performance when AI is unavailable.
Summary basis: official / RSS sourceCompiled from the source scope noted above; the original remains authoritative.
Sources
- The Decoder：AI News
- The Decoder：AI News
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