Category hub · QLM category creation

Assessment Conversion Studio: Convert Traditional Assignments into Simulation-Based Performance Assessments

Assessment Conversion Studio helps educators move from AI-vulnerable final products to transparent, process-based evidence of learning.

Category thesis

AI detection is not enough. Assessment design has to change.

When students can generate polished output, the assignment must reveal planning, judgment, reasoning, revision, and responsible AI use.

Detection tools focus on policing the final artifact. They do not create better evidence of learning and can produce disputes without instructionally useful data.

What institutions can evaluate

ReasoningWhat the learner triedPredictions, decisions, explanations, and revisions are captured as evidence.
InterventionWhat support is neededTeachers and leaders see patterns that help prioritize next actions.
PortabilityWhat can travelEvidence can become part of a living skills profile instead of disappearing after completion.

Pilot shape

A pilot should produce evidence, not just usage.

A conversion pilot should redesign three high-risk assignments, test them with one course or department, and compare grading clarity and integrity concerns.

  • Define the learner or workforce outcome.
  • Run a small cohort through simulation or tutoring workflows.
  • Review evidence with educators, leaders, and learners.
  • Decide what intervention or rollout follows.

FAQ

Questions this page answers.

Is this an AI detector?

No. It is a design workflow for creating assessments where reasoning and process are visible.

Can instructors keep their existing learning goals?

Yes. The conversion starts from the existing assignment goal and changes the evidence pathway.

Next step

Turn the category into a pilot.

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

Open Conversion Studio