feedback

Automated writing feedback uses the Writing Mentor Framework to validate data pipelines and check internal and external consistency, generating two-tier feedback with technical notes for reviewers and pedagogical guidance for writers.

To generate writing feedback, you need to provide assignment and rubric documents, and optionally include course concepts to validate specific assumptions made in the student submissions.

Yes, comprehensive data validation checks charts against formulas, verifies cross-file consistency, and validates external data sources to ensure rigorous academic review of written submissions.

You can review all submissions in a current folder to automatically generate detailed technical audits and student-friendly feedback for each written assignment using the Writing Mentor Framework.

Two-tier feedback generates distinct outputs: technical reviewer notes for instructors to audit data and consistency, and teaching-focused guidance for writers to improve their pedagogical approach.

Limitations depend on the provided course concepts and rubric documents; the Skill validates external data sources against these inputs but cannot verify facts outside the supplied reference parameters.