College Professor’s In‑Person Final Slashes Scores 50%, Ignites AI Controversy
**Introduction**
A mid‑semester surprise rippled through an Ivy League lecture hall when Professor Daniel Morris announced that the upcoming final would be administered strictly in person. Citing a growing unease over unexplained spikes in online quiz performance, Morris told his 120‑student class that he suspected widespread use of generative AI tools to complete take‑home assignments. The decision, he said, was meant to restore confidence in the grading process and to test whether students could demonstrate mastery without digital assistance.
**Key Developments**
On the day of the exam, students arrived with pencils and paper, no laptops or smartphones allowed. When the scores were released, the average mark for those who completed the in‑person test fell by roughly 50 % compared with the previous online‑only assessments. The drop was not uniform; a small cohort of students who had consistently attended office hours and participated in discussion sections saw only a modest decline, while others—particularly those who had relied heavily on AI‑generated drafts—scored near the bottom. The university’s academic integrity office confirmed receipt of several complaints but noted that no formal cheating allegations had been filed yet. Morris defended the outcome, arguing that the stark contrast highlighted a dependency on AI that undermined genuine learning.
**Industry Analysis**
The incident fuels a broader debate about how higher education institutions should adapt to the rapid proliferation of large‑language models. While AI detection software has improved, false positives and |
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