Model card · QLM category creation

Assessment Conversion Model Card

Assessment conversion helps instructors redesign vulnerable final-output assignments into evidence-rich performance tasks.

Research brief

Intended use

The conversion workflow is intended to help teachers, professors, and instructional designers transform assignments into tasks that capture process, reasoning, and AI-use transparency.

Evidence captured

Evidence includes task decomposition, process checkpoints, oral defense prompts, simulation options, rubric alignment, and review recommendations.

Limitations and review

Converted assessments require instructor review. The system should not make final validity claims without course context, discipline norms, and accessibility checks.

Published by Quantum Learning Machines · 2026-06-02

Next step

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

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