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Human-reviewed assessment rubric

A method for reviewing work while keeping the final decision human.

Use a copy with fictional data. The exercise workbook, when offered, includes an answer sheet; other files are templates to fill in.

Review learner work with AI: build a rubric and keep the final decision human

LearnIA — teaching template — 2026-10-14

Use fictional data for the first trial. Adapt this template to your context and verify the result before using it.

Brief to complete

  • Objective and intended decision :
  • Audience and context :
  • Documents, versions and sources :
  • Constraints and boundaries :
  • Expected output format :
  • Information to confirm :
  • Reviewer :

Starter instruction

Apply the supplied rubric to the work. For each criterion, give an observation supported by a passage, explain its relevance and propose a formative next step. Separate evidence from interpretation. Do not infer effort, personality or AI use. Do not make a final grading decision. Flag ambiguous cases for the educator.

Quality review

  • Criteria match the published task.
  • Observations are supported by the work.
  • Ambiguous cases are marked.
  • The educator reviews comments and makes the final decision.

Verification log

ItemSource or calculationResultCorrection

Approval and next step

  • Remaining errors :
  • Assumptions to resolve :
  • Retained version :
  • Next action and owner :

Full tutorial, example and sources : https://learn-prompting.fr/blog/corriger-travaux-ia-grille-evaluation

This resource prepares a draft; it is not a certification, a grading decision, legal advice or a guarantee of results.