Schools · QLM category creation

Assessment Conversion for Schools

Schools need assessments that reveal thinking even when AI tools are available.

Buyer problem

The buyer needs credible evidence.

Teachers are being asked to respond to AI use without enough time to redesign assignments.

Why traditional tools fail

Legacy tools see output, not thinking.

AI bans and detection tools can create policing burdens without producing stronger learning evidence.

How QLM solves it

QLM captures the process.

QLM helps convert assignments into checkpoints, simulations, oral defenses, and transparent AI-use workflows.

Evidence captured

The pilot produces reviewable signals.

Evidence includes planning, revision, explanation, source use, AI-use disclosure, and teacher review moments.

Pilot design

A focused pilot can run before a district or institutional rollout.

Convert three high-risk assignments and review whether teachers get clearer evidence with less integrity uncertainty.

  • Select one cohort and one measurable outcome.
  • Run QLM for a short cycle with teacher or leader review.
  • Review misconception, reasoning, and evidence patterns.
  • Decide whether to expand the pilot.

FAQ

Questions this page answers.

Can schools keep existing rubrics?

Yes. The pilot can preserve learning goals while changing the evidence trail.

Is this only for essays?

No. It can apply to projects, problem sets, presentations, and performance tasks.

Next step

Turn the category into a pilot.

Use this path when you want a pilot, research partnership, or product walkthrough.

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