Formative feedback is feedback given while students are still working, and it is among the most effective ways to improve writing. The challenge is that giving detailed comments on every draft is not realistic for teachers with a hundred or more students. AI-assisted feedback can help fill that gap, especially for a text like Tex where assignments follow predictable patterns.

The most useful AI feedback is tied directly to your rubric. When the tool evaluates a draft against criteria such as claim clarity, quality of evidence, and explanation of reasoning, students receive comments that align with how they will eventually be graded. That alignment makes the feedback more actionable than a general response about writing quality.

Teachers should still decide how the feedback is used. Some choose to review comments before releasing them, while others allow students to see them right away and discuss them in class. Either approach works as long as students understand that the feedback is a guide and that the teacher remains responsible for the final grade.

What Good AI Feedback Looks Like

Strong feedback on a Tex draft refers to the student's actual sentences and the rubric language. It might note that a paragraph about Mace's decision includes a clear claim but lacks an explanation of the quotation, and then suggest what kind of explanation would help. Vague praise or generic advice about writing more clearly should be seen as a sign the tool is not working well.

• References specific sentences or paragraphs in the student's draft
• Uses the same criteria as the rubric the teacher will grade with
• Identifies one or two priorities instead of listing every possible fix
• Offers a question or model that helps the student revise
• Avoids rewriting the student's essay for them

Keep Student Learning at the Center

The goal of formative feedback is learning, so it matters how students respond to it. Ask them to write a short revision plan after receiving comments, explaining what they will change and why. This turns feedback into an active task and prevents students from simply accepting or ignoring suggestions without thinking.

Be clear with students about what the tool is for. It can help them see where a draft is unclear or where evidence is missing, but it should not write the essay for them. Setting this expectation early, and connecting it to your classroom policies on AI use, keeps the focus on skill development.

Maintain Teacher Judgment

AI feedback is not perfect, and teachers know their students and their material better than any tool. If a comment misreads a scene from Tex or misses the point of a student's argument, you should feel free to adjust or remove it. Reviewing a sample of feedback each time you assign an essay helps you spot recurring issues and refine the way the tool is used.

Teachers should also watch for fairness across different students. Check that comments are equally detailed for strong and struggling writers and that the tool does not penalize unconventional but valid interpretations. A human check of a few papers from each performance level can reveal whether the feedback is working as intended.

Fit AI Feedback Into Your Workflow

A practical workflow might begin with students submitting a draft, receiving rubric-based comments, revising, and then submitting the final essay for your grading. Because the first round of feedback is handled quickly, you can spend your time on conferences, mini-lessons, and the final evaluation. This division of labor takes advantage of what technology and teachers each do best.

Track results over the unit to see whether the approach is helping. Compare the quality of final drafts with earlier essays, and ask students whether the comments were clear and useful. Their responses will help you decide how much to rely on AI feedback in future assignments and how to adjust the rubric to produce better guidance.