Question 1

Does the AI grading assistant assign grades?

Accepted Answer

No — by design, not by limitation. It drafts rubric-aligned feedback that the instructor reviews and edits; the instructor reads every submission and decides every grade. We think tools that auto-assign grades put teachers in an indefensible position with students, parents, and appeals processes, so we deliberately do not build one.

Question 2

What does it actually save time on?

Accepted Answer

The drafting hours. Most of a marking queue’s time goes into composing individualized comments, not into forming the judgment about the work. A reviewed-and-edited draft per submission cuts the composition step dramatically while leaving the reading and the decision untouched — and faster feedback, research consistently suggests, is worth more to student revision than slower, longer feedback.

Question 3

What assignment types does it work with?

Accepted Answer

Rubric-assessable written work is the sweet spot: essays, reports, case analyses, project write-ups. Objective formats (MCQ, matching) don’t need AI feedback drafting — the platform’s standard assessment tools handle those with answer keys, as they always have.

Question 4

How is this governed at the institutional level?

Accepted Answer

Like every AI capability on the platform: usage runs under institution-set guardrails and spending budgets, and every interaction lands in an exportable audit log. A department head can see how the assistant is used; a teacher can show exactly what the AI drafted versus what they edited.

Question 5

How does this differ from tools that claim full AI grading?

Accepted Answer

Tools that score student work put the judgment inside the model, where it cannot be defended in a grade appeal and where documented model biases (for example against non-standard dialects and non-native writing) become grading biases. Feedback drafting keeps the model on the safe side of the line: it accelerates writing, and the accountable human does the judging.

AI Drafts the Feedback. Teachers Grade the Work.

The workflow: human in the loop, visibly

Instructor supplies the rubric and submissions

AI drafts feedback per criterion

Instructor reads the work and edits the draft

Instructor sets the grade

What this feature deliberately does not do

Governed like everything else on the platform

Frequently Asked Questions

Get the drafting hours back — keep the judgment