Rohan Shah
Julie Kennedy
Casey Sporez
Rohan Shah
Feedback takes the most time when every submission needs nuance.
The Problem
Professors often want to give specific, formative notes, but high-volume courses make that difficult. AI Feedback Studio turns rubrics, learning goals, and submission context into a first pass that instructors can approve, edit, or rewrite.
Import rubric context gives teams a practical way to move from insight to action. The workflow is intentionally lightweight: start with the course context, review the recommendation, and keep the final decision in human hands.
Generate a first pass gives teams a practical way to move from insight to action. The workflow is intentionally lightweight: start with the course context, review the recommendation, and keep the final decision in human hands.
Tune tone and strictness gives teams a practical way to move from insight to action. The workflow is intentionally lightweight: start with the course context, review the recommendation, and keep the final decision in human hands.
Compare across the cohort gives teams a practical way to move from insight to action. The workflow is intentionally lightweight: start with the course context, review the recommendation, and keep the final decision in human hands.
Send targeted next steps gives teams a practical way to move from insight to action. The workflow is intentionally lightweight: start with the course context, review the recommendation, and keep the final decision in human hands.
Audit every suggestion gives teams a practical way to move from insight to action. The workflow is intentionally lightweight: start with the course context, review the recommendation, and keep the final decision in human hands.
Can professors edit the AI output is handled with a clear, editable workflow. The feature is built for academic teams, so permissions, transparency, and instructor control stay visible throughout the experience.
Does it grade automatically is handled with a clear, editable workflow. The feature is built for academic teams, so permissions, transparency, and instructor control stay visible throughout the experience.
Can it match our rubric is handled with a clear, editable workflow. The feature is built for academic teams, so permissions, transparency, and instructor control stay visible throughout the experience.
Is student data protected is handled with a clear, editable workflow. The feature is built for academic teams, so permissions, transparency, and instructor control stay visible throughout the experience.
Can TAs use it too is handled with a clear, editable workflow. The feature is built for academic teams, so permissions, transparency, and instructor control stay visible throughout the experience.
What happens when the AI is unsure is handled with a clear, editable workflow. The feature is built for academic teams, so permissions, transparency, and instructor control stay visible throughout the experience.
