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We introduce a novel writing method called Probing Chain of Thought (ProCoT),which prevents students from cheating using a Large Language Model (LLM), suchas ChatGPT, while enhancing their active learning through such models. LLMshave disrupted education and many other feilds. For fear of students cheating,many educationists have resorted to banning their use, as their outputs can behuman-like and hard to detect in some cases. These LLMs are also known forhallucinations (i.e. fake facts). We conduct studies with ProCoT in twodifferent courses with a combined total of about 66 students. The students ineach course were asked to prompt an LLM of their choice with one question froma set of four and required to affirm or refute statements in the LLM output byusing peer reviewed references. The results show two things: (1) ProCoTstimulates creative/critical thinking and writing of students throughengagement with LLMs when we compare the LLM solely output to ProCoT output and(2) ProCoT can prevent cheating because of clear limitations in existing LLMswhen we compare students ProCoT output to LLM ProCoT output. We also discoverthat most students prefer to give answers in fewer words than LLMs, which aretypically verbose. The average word counts for students, ChatGPT (v3.5) andPhind (v8) are 208, 391 and 383, respectively.

ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs)