Three AI tools all made the same mistake grading student exit tickets — and what it reveals about teaching
By
Patty Stephens
Summary
A teacher gave three AI tools the task of analyzing 16 student exit tickets from an 8th grade math class on solving systems of linear equations. All three AI tools confidently produced detailed analyses but made the same critical error: they praised students who had submitted blank or nearly blank work. The article uses this real-world example to explore the limitations of AI in education — particularly its tendency to generate plausible-sounding but inaccurate assessments — and what this reveals about the irreplaceable value of human teachers who can actually see and understand what students are doing.
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Key quotes
· 3 pulledAll three tools got to work. All three produced confident, detailed analyses. And all three made the same mistake.
They praised students who hadn't shown a single line of work.
What a stack of exit tickets can teach us about AI — and about teaching
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