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AI agent for teaching assistants

Grading Consistency Agent

Consistent grading across TAs

Quality controlEducation
See how it worksGet access
Grading Consistency Agent: what goes in, what the agent does and what you get

What it does

When several teaching assistants grade the same assignment, scores drift and students notice. Before grading starts, this agent picks a few sample submissions for every TA to grade, compares their scores item by item on the rubric, and shows where they disagree most. A difference over one point on an item is flagged. It drafts rubric clarifications and example answers for the instructor to approve. During grading it compares each TA's average per rubric item. When one drifts out of range, it prompts a short recalibration on the shared samples and checks again on the next batch. The instructor approves rubric changes and any grade changes. Edge case: TAs grading sections with very different students are compared using the shared samples rather than raw averages, so a strong section is not mistaken for lenient grading.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
ApprovedYes, continueApprovedNo 1 STARTS WHEN Assignment due 2 USES A TOOL Pick calibration samples for every TA 3 DOES Compare TA scores item by item on the rubric 4 DOES Draft rubric clarifications and example answers 5 YOU APPROVE Instructor approves rubric clarifications 6 USES A TOOL Track each TA's average per rubric item duringgrading 7 CHECKS THE RESULT Are TA averages within range during grading? If not: prompt a short recalibration on shared samples.Back to step 3. 8 YOU APPROVE Instructor approves final grades 9 RESULT Consistent grades
Read the steps as a list
  1. Assignment due
  2. Pick calibration samples for every TA
  3. Compare TA scores item by item on the rubric
  4. Draft rubric clarifications and example answers
  5. Instructor approves rubric clarificationsThe agent waits here for your OK.
  6. Track each TA's average per rubric item during grading
  7. Are TA averages within range during grading?If not: prompt a short recalibration on shared samples. Back to step 3.
  8. Instructor approves final gradesThe agent waits here for your OK.
  9. Consistent grades

How it decides

Differences per rubric item.

  • Difference over 1 point flags
  • Clarify rubric
  • Section differences noted

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Sample size
  • Threshold
  • Rubric
  • Report

What keeps you in control

It always asks you first

  • Rubric changes
  • Grade changes

Hard limits

  • Instructor approves grades

It stops when

  • Done: grades released
  • Stop: none

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensFor a 120-student statistics lab due October 17, the agent gave four TAs the same five sample submissions. Scores on the interpretation item ranged from 3 to 8 out of 10. The instructor approved a clarified rubric with two example answers. Midway through grading the check failed: one TA averaged 2.1 points lower on that item. The agent prompted a short recalibration on two shared samples, and the instructor approved final grades.

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