“We could have done a better job at teaching students how to engage with information produced on the internet,” he says. “I hope that we’ve learned from that.”

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Here’s his outline of how educators can build AI literacy in their classrooms and grade chat transcripts effectively:

Teach principles for effective AI use. Ask AI for suggestions and options—not answers—and reflect critically on what AI is producing. Additionally, show students what a strong AI query looks like.
Teachers generate purpose statements. What is the purpose of the assessment that teachers are permitting students to interact with AI on? What will students gain?
Students interact with AI for an assessment grade. Provide students with a rubric involving engagement quality, critical analysis, ethical considerations and query strategies.
Students complete traditional output. Decrease the value of their essay. Instead, assess students’ understanding of the project’s objective, task and content through a closed-notes verbal presentation.
The AI reflection: Task students with reflecting on their use of AI using the “What-Why-How” approach—What did AI suggest? Why did it make this suggestion? How did AI use impact the overall product?

SchoolAI, Magicschool.AI, and Khanmigo provide educators direct access to their student’s transcripts with a chatbot, allowing them to intervene and steer the conversation if students fall off course.

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Student learning revisited: How these educators empower their assessments with AI the right way

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