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Brown University sees 50% score drop after AI cheating suspected in economics class

A Brown University economics professor, Roberto Serrano, observed an unprecedented surge in student scores on a take-home midterm exam, with an average of 96 out of 100, significantly higher than the historical average of 65-80%. This occurred in a course that saw an enrollment increase from around 30 students to 86, coinciding with the introduction of take-home exams for both the midterm and final. Serrano suspects widespread AI use for cheating, prompting him to consider in-person exams for the future. AI

IMPACT Widespread AI use in academia may necessitate changes in assessment methods to ensure genuine learning and prevent academic dishonesty.

RANK_REASON Article discusses a suspected AI cheating scandal at a university, focusing on the implications for education and academic integrity, rather than a direct release or product announcement.

Read on Ars Technica — AI →

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Brown University sees 50% score drop after AI cheating suspected in economics class

COVERAGE [1]

  1. Ars Technica — AI TIER_1 English(EN) · Nate Anderson ·

    Suspecting AI cheating, Ivy League prof ordered an in-person final; scores fell 50%

    AI cheating leads to "a failed society," professor says.