AI Review is a new curriculum element that allows organizations to automatically evaluate learner submissions using AI, while keeping instructors fully in control of quality, tone, and oversight.
It is designed for programs with high learner volume, where manual reviews would otherwise limit scale.
What Is AI Review?
AI Review is an assessment element that uses artificial intelligence to review learner submissions based on a customizable rubric defined by instructors.
To work correctly, AI Review must be used in a sequence with:
Submission – the learner’s work (source of the review)
AI Review – automated evaluation based on your rubric
Feedback Reflection – where learners read and reflect on the feedback received
This sequence ensures feedback is contextual, structured, and pedagogically sound.
How AI Review Works
Learners submit their work using a Submission element.
The AI Review analyzes the submission using the instructor-defined rubric.
The AI fills out the rubric and generates structured feedback.
Learners access the feedback in the Feedback Reflection step.
Instructors can review, edit, regenerate, or respond to reports if needed.
Custom Rubrics for AI Review
Each AI Review has its own rubric, fully configurable by the instructor.
You can mix different question types to match your assessment goals:
Available Rubric Question Types
Open Question
The AI answers with a written explanation.Numeric Rating
The AI assigns a numerical score.Text Scale
The AI selects from predefined textual options (e.g. Below Expectations, Meets Expectations).Yes / No
The AI selects between two fixed options.
The AI completes the rubric exactly as defined, ensuring consistency across all submissions.
Instructor Impersonation (Reviewer Name)
You can choose which instructor appears as the reviewer of the submission.
Choose Reviewer Name
Select any instructor or team member in your organization.
The AI feedback will appear as if it was written by that reviewer.
This helps preserve a human and consistent instructor presence, even at scale.
Controlling the Style of AI Feedback
AI Review allows you to control how feedback is written, without affecting grading logic.
Tone Setting
Defines the communication style of the feedback:
Inspirational
Supportive
Neutral
Critical
Educational
Friendly
The tone influences language and framing, not evaluation criteria.
Scope Setting
Defines what the AI focuses on when reviewing the work, such as:
Suggestion-Oriented Feedback
Error Detection
Evaluation / Grading
Deep Understanding Check
Writing Style & Clarity
This ensures feedback aligns with your pedagogical intent.
Learner Reporting & AI Oversight
Learners can report AI feedback if they believe it is inaccurate or inappropriate.
How Reporting Works
Learners click Report on the AI Review.
A modal opens where they can explain the issue.
The organization is notified.
Instructor Actions After a Report
Instructors can:
Review the reported feedback
Edit the AI-generated review manually
Reply to the learner
Mark the report as resolved
This ensures human oversight and accountability in all AI-assisted reviews.
Regenerating an AI Review
Instructors can regenerate feedback at any time.
Click Generate AI Review to create a new version.
Useful if the rubric changes or the initial feedback needs refinement.
Regeneration does not affect the original submission.
Why AI Review Matters
AI Review helps organizations:
Scale assessments for thousands of learners
Reduce instructor workload without sacrificing quality
Maintain consistent feedback standards
Provide timely, structured feedback
Keep instructors in control with review, edit, and reporting tools
It is especially effective for universities, bootcamps, corporate training programs, and large online academies.
Summary
AI Review combines automation with instructor control:
Structured rubrics
Custom feedback tone and scope
Instructor impersonation
Learner reporting
Manual override and regeneration
It enables scalable, high-quality feedback—without removing humans from the loop.