AI Feedback
Understand how AI feedback works, track generation status, and manage feedback critiques.
How AI Feedback Works
When a student submits an answer, the AI generates personalized feedback:
- The AI analyzes the student's response
- It retrieves relevant context from your course documents
- Based on your rubric settings, it evaluates the answer
- It generates constructive feedback in your chosen tone
- The feedback is delivered to the student
Feedback Generation Status
Track the status of AI feedback generation:
PendingWaiting in queue for processing
ProcessingAI is analyzing and generating feedback
CompletedFeedback successfully generated
FailedGeneration failed - can be retried
Retrying Failed Feedback
If feedback generation fails:
- Navigate to the Feedback section
- Filter by "Failed" status to see problematic submissions
- Click the "Retry" button on individual items
- Or use "Retry All Failed" for bulk retry
Tip: Failures are usually temporary. If retrying doesn't work after a few attempts, contact support.
Feedback Critiques
Students can request critiques of their AI feedback:
- Students click "Request Critique" on their feedback
- The AI re-evaluates the feedback for accuracy
- A detailed critique is generated
- You can review critiques in the Feedback Critiques section
Managing Feedback
The Feedback section allows you to:
- View all generated feedback across your module
- Filter by status, student, or question
- See processing times and queue status
- Identify patterns in feedback quality
- Export feedback data for review