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AI INTEGRITY

Assess the chat, not just the essay

On AI-open tasks, the transcript is where the thinking lives. Ask for it, and grade the questions they asked.

Sep 9, 2026 · 1 min read

If a task is AI-open, the interesting evidence isn't the polished product; it's how the student steered. A transcript shows whether they interrogated, refined, and rejected, or pasted the task and took the first output. Making the chat a submitted artefact turns prompting from a private shortcut into an assessable skill. (Manning's prompt-literacy-sequence-designer skill treats prompting as exactly this kind of teachable genre.)

In practice

  • Add one rubric line for the transcript: did the student push back, ask for alternatives, verify a claim, or change direction at least once?
  • Showcase two anonymised transcripts side by side: one that steered, one that accepted. The difference teaches itself.
  • Pairs with the disclosure norm (see "Ask how they used AI, not whether"): disclosure says what happened, the transcript shows it.

Quick takeaway: on open tasks, the conversation is the coursework.

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Make them explain it before the AI does

Students who explain a concept in their own words first learn more from whatever the AI says next. Order is the whole trick.


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Require one doubt, one check, one source

A standing rule for every AI answer: one place it could be wrong, one way to check it, one non-AI source to consult.


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Have students log what the AI did for them

After an AI-assisted task, one honest question: which parts could you now do alone? The answer calibrates them better than any rule.


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