The teacher found 32 cases of using AI among students during the midterm exam in history

7/28/2026, 07:33 AMЕвгения Слив

Dr. Jason Gibson, a history professor at Alcorn State University, has applied an innovative method to identify students who use artificial intelligence systems to complete academic assignments. A hidden element with instructions for neural networks was integrated into the text of the intermediate exam on the industrial revolution, prescribing the inclusion of the word "Madagascar" in the response in a context that has no logical connection with the topic of the work. This technique allowed us to identify 32 students who submitted papers generated by artificial intelligence without subsequent substantive verification. The submitted essays contained meaningless phrases such as "Madagascar floats sideways through the afternoon" and "Madagascar purple bike whispers to the ceiling," which clearly indicated automatic content generation.

After cases of academic dishonesty were identified, the teacher gave students the opportunity to challenge their grades, but only two out of thirty-two people used this option. Dr. Gibson emphasized that his goal was not to publicly condemn students, but to demonstrate the need for critical verification of materials created using artificial intelligence. The incident received widespread coverage on social media, which initiated a professional discussion about how to ensure academic integrity in the context of the widespread availability of large language models.

Since the widespread adoption of the ChatGPT system, educational institutions have faced increasing challenges in the field of knowledge assessment. Teachers are implementing various counteraction strategies, including requiring handwritten papers, conducting oral exams, and developing assignments that are resistant to automated solutions. However, the effectiveness of these measures remains a matter of debate, as the technological capabilities of artificial intelligence systems continue to develop at a faster pace. The long-term consequences of dependence on automated tools in the educational process require further systematic study and the development of adaptive pedagogical approaches.

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