● Covered by 2 sources · 2 reportsMedium impact
Brown University Professor's In-Person Exams Highlight Potential AI Cheating Issue
Key points
- Prof. Roberto Serrano switched exams from take-home to in-person at Brown University.
- In-person final scores dropped significantly, with only two students maintaining midterm performance.
- Class enrollment fell from 86 to 68 after the format change, with nine skipping the final.
- Serrano suspected AI cheating based on suspiciously high take-home midterm scores.
- Incident raises concerns about AI's influence in academic integrity.
In-Person Exam Reveals Score Drop
Brown University Professor Roberto Serrano noted a significant score drop in his Welfare Economics and Social Choice Theory class after changing the exam format from take-home to in-person. Of 86 students enrolled, only 68 appeared for the final, and scores fell by 50% overall.
Suspected AI Cheating
Concerns over AI cheating arose when Serrano witnessed unusually high scores on the take-home midterms. The incident prompted him to revert to in-person finals, which revealed a stark contrast in performance, suggesting potential academic dishonesty facilitated by AI tools.
Impact on Class Enrollment
The change in exam format and Serrano's suspicion of AI-focused cheating led to a drop in class participation. Eighteen students dropped out, and nine students skipped the final examination completely.
Implications of AI in Education
This situation highlights the growing challenge posed by AI in maintaining academic integrity. The problem extends beyond Brown University, as similar concerns about AI and academic dishonesty arise in other educational institutions.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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How outlets covered it
Roberto Serrano, a professor at Brown University, switched his final exam to in-person format after observing suspiciously high scores on a take-home midterm, which he suspects involved AI cheating. The transition resulted in a significant drop in class participation, as only two students maintained scores close to their midterm results, indicating potential widespread academic dishonesty.
Brown University economics professor Roberto Serrano experienced a 50% drop in scores for an in-person final after previously allowing take-home exams. The shift occurred following concerns about AI cheating among students, reflecting the mounting pressures students face in managing their academic workloads.