Automated essay scoring with rubric evidence.
Evalysis scores essays by separating claim, evidence, reasoning, organization, conventions, source use, feedback, and review routing.
A practical overview.
Essay grading is several jobs
A source-based response, AP essay, tutoring draft, placement essay, and multilingual learner response need different evidence and different feedback.
Human agreement matters
A serious workflow compares scores against trusted human raters and anchors rather than relying on a plausible explanation alone.
Feedback should be actionable
The system should tell students what to revise and tell teachers where the class is struggling, not only output a holistic number.
Library topics that support this page.
Automated essay scoring with LLMs
Research and practical guidance on automated essay scoring, AI essay grading, rubric alignment, human agreement, feedback, and fairness.
Constructed-response scoring
How AI scoring applies to short answers, science explanations, math work, evidence-based writing, partial credit, and rubric-based constructed responses.
AI assessment validation
A practical guide to validating AI scoring systems with human agreement, confidence routing, subgroup checks, calibration, and audit replay.