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AI INTEGRITY

Grade the reasoning, not the artefact

If a deliverable can be generated in a minute, stop paying full price for it. Move the marks to what can't be outsourced.

Jul 23, 2026 · 1 min read

When the essay, the code, or the poster can be produced by a model, the honest response isn't better detection. It's shifting credit toward the parts of the work that still require the student: the decisions, the revisions, and the ability to explain them. This is the assessment-side answer to the OECD's finding that outsourcing to GenAI lifts performance without producing learning (OECD, 2026).

In practice

  • Rebalance rubrics: fewer marks for the polished product, more for the plan, the draft-to-final changes, and a short spoken walkthrough.
  • Ask for a "decision log": three sentences on what they changed and why. Fabricating a good one requires understanding the work, which is the point.
  • Sixty-second explanations (see "Make them say it out loud") slot in here as the assessment layer, not an add-on.
  • Say the quiet part to students: "I assume tools exist. I'm grading what you did that a tool can't."

Quick takeaway: don't defend the artefact. Devalue it.

More on ai integrity

AI INTEGRITY

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.


1 min read
AI INTEGRITY

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.


1 min read
AI INTEGRITY

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.


1 min read