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Professor Created a Trap in His Midterm to Catch Students Using AI
2 months ago
- Dr. Jason Gibson of Alcorn State University planted the hidden word 'Madagascar' in white font within an exam prompt to catch students using AI to generate essays without proofreading.
- 32 out of 35 students failed the midterm section because their AI-generated responses included the hidden word, revealing they had copied directly from a chatbot.
- Gibson's TikTok videos about the trap went viral, sparking debate on AI's role in education, with some praising his integrity lesson and others criticizing the tactic.
- Only two students appealed the grades, and one had her grade changed because dark mode made the white text invisible on her screen.
- Gibson emphasized his goal was not to fail students but to highlight the issue of students outsourcing learning, as many responses contained nonsensical AI-generated phrases.
Suspecting AI cheating, Ivy League prof ordered in-person final; scores fell 50%
2 months ago
- Ivy League students are intelligent but may use AI as a shortcut due to competitiveness and time constraints.
- A survey found 29.9% of Princeton students admitted to cheating with AI on exams or assignments.
- A scandal at Brown University involved professor Roberto Serrano's ECON 1170 course after allowing take-home exams due to a campus tragedy.
- Enrollment in the course surged to 86 students, and the midterm average score was 96/100, with 40 perfect scores, unlike historical averages of 65-80%.
Probably the best AI detector tool is ready
2 months ago
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Professor denounces mass AI fraud on an exam at Brown
3 months ago
- Professor Roberto Serrano discovered mass cheating via AI in his advanced economics course at Brown University, with at least 50 students involved in the midterm exam.
- University officials initially responded with silence, later calling it a 'wake-up call,' but Serrano argues for a public debate to defend academic integrity.
- Serrano, a blind economist and game theory expert, adapted the course with take-home exams, which led to unusually high scores (average 96/100), signaling AI use.
- After switching to an in-person final exam, the average score dropped to 48/100, and many high-scoring midterm students did not show up, providing overwhelming evidence of fraud.
- The context includes a campus shooting that affected students and influenced Serrano's decision to offer take-home exams to ease anxiety, making the cheating incident more painful.
- AI is changing traditions at elite universities, such as Princeton ending its honor code system, as cheating becomes easier and more tempting for students.
- Serrano calls for addressing AI's impact openly to preserve higher education's credibility, warning against sweeping such issues under the rug.

academic integrity

Professor Created a Trap in His Midterm to Catch Students Using AI

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

Probably the best AI detector tool is ready

Professor denounces mass AI fraud on an exam at Brown