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Early version: This AI feature is in Beta. The documentation below might lack newly added functionality or contain recently removed functionality. If you have any ideas or suggestions, I’d love to hear them. Please send an email to [email protected].
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Claire’s inline AI suggestions are powered by a sophisticated academic assessment engine designed to provide objective, consistent, and constructive feedback on student submissions.
This article explains how the AI evaluates each Block in a student’s work and generates precise annotation suggestions to support your grading decisions.
Claire carefully analyzes each Block independently, applying rigorous academic standards to help you maintain high-quality feedback by highlighting:
Claire processes student submissions by breaking them down into manageable paragraphs (Blocks). It then evaluates each Block according to four main criteria:
| Criterion | What the AI Assesses |
|---|---|
| Accuracy | Factual correctness and consistency of statements |
| Use of Evidence | Relevance, strength, and integration of supporting examples, data, or citations |
| Grammar & Spelling | Identification of all grammatical, spelling, punctuation, and capitalization errors |
Claire assesses whether technical terms are used correctly and precisely and looks for: