AI feedback tools for teachers: what they can draft, and what should stay yours

Feedback is the part of teaching that everyone agrees matters and nobody has time to do properly. A stack of forty notebooks on a Thursday evening produces a tick, a mark, and perhaps "good effort." The temptation to hand the whole pile to an AI tool is understandable. It's also the use of AI where the most can go wrong. This post separates the tasks where AI is a helpful drafting assistant from the ones that belong to the teacher.

Start with why feedback deserves care. In a widely cited review, John Hattie and Helen Timperley describe the power of feedback as one of the most powerful influences on learning and achievement, while noting that the effect can be positive or negative depending on the kind of feedback given. The practical lesson is that more comments aren't automatically better. Vague praise or an unexplained mark can do little, and a wrong or badly pitched comment can do harm. Any tool that increases the quantity of feedback at the cost of its quality is not helping.

What does the evidence say about AI-generated feedback? It's early and mixed. One 2026 study, Evaluation of Large Language Models' educational feedback in Higher Education, assessed feedback produced by seven language models on student projects and concluded that they can generate well-structured feedback and hold great potential as a sustainable feedback tool, but that this depended on clear contextual information and well-defined instructions. Notice the conditions. That study was in higher education, using a structured rubric, with instructors framing the task. It's a reason for cautious optimism, not a licence to paste in a child's notebook and accept whatever comes back.

Here is where AI can genuinely help a teacher, in ways that keep the teacher in charge. First, comment banks: after marking a sample of five or six scripts, list the most common errors and ask for short, specific, task-focused comments for each, at a level your students can read. You then number them and apply them by code, adding a personal line for each child. Second, model answers and marking guides: from a question paper and its answer key, draft a clear guide showing what a full-mark answer contains, which makes your own marking more consistent. Third, rewording: turn a blunt comment such as "wrong" into one that says what was missing and what to try next.

Fourth, language. Feedback delivered in a language the student and parent actually read carries more weight. A teacher can draft a comment in English and ask for a natural Urdu or Roman Urdu version, then check it. Fifth, student self-check prompts: short lists of questions a student can use before handing work in, such as "did I show my working?" or "does each paragraph have one main idea?" These help students give themselves feedback, which reduces the pile before it reaches you.

Now the things that should stay with the teacher. Don't upload students' actual work to a general AI tool for marking. Handwritten answers often contain names and personal details, and Pakistan doesn't yet have an enacted general data protection law, so the school's own rules matter more; see our post on AI data privacy. Don't let a machine decide a mark that goes on a report card, because a wrong mark is a real harm and an unexplained one is worse. And don't outsource the individual comment that shows a child you read their work; that's the part students remember, and it's where the relationship sits.

A useful rule of thumb is to let AI prepare the feedback tools and let the teacher apply them. Drafting a comment bank is preparation. Reading a child's answer and choosing the right comment is judgment. The first can be done once and reused across classes and terms; the second is the teacher's job every time.

Where does Muallim sit? Muallim is built by DIGIT Pakistan for teachers and school admins, and it doesn't mark or grade student work, and we don't think it should. Its help with assessment is upstream and mechanical. Quiz & Assessment generates a formally marked quiz with per-question marks and an automatically calculated total, plus an answer key, so the arithmetic of a mixed-format quiz is done before the papers come back. The Worksheet Builder generates the answer key together with the worksheet. That means when you sit down to mark, you have a clear key and a correct total, and your time goes to reading answers and writing comments. Everything is a draft you review in an editor first.

If you'd like to try this week: mark five scripts from your next set, note the three most common mistakes, and draft a comment for each with clear next steps, in the language your students read. Number them, use them on the whole set, and add one sentence per child by hand. Time yourself against your usual routine. If the comments are clearer and the evening is shorter, keep the habit; if not, drop it. The tool should earn its place.