Artificial intelligence and automation

AI-assisted grading: what it can and cannot do

A clear guide to automated assessment, evidence, human review and the boundaries of judgment.

A connected knowledge ecosystem spanning evidence, guides, case studies, questions, analytics and decision
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Start with the rubric

The system can apply explicit criteria more consistently than vague ideas such as originality or depth.

Keep evidence visible

Every suggested outcome should point to the relevant part of the submission so a reviewer can verify it.

Design human review

Borderline, ambiguous and high-impact cases must move to an authorized reviewer.

Validate before scale

Test representative work, measure agreement and appeals, then expand only after an approved result.