How to Give Personalised Feedback to 40 Students — Without Burning Out
Most teachers write the same 3 comments for everyone. Here's how AI helps you say something meaningful to every student.
Ask any teacher what they'd do differently if they had more time, and most will say the same thing: give better feedback.
Not just "Good effort" or "Needs improvement." Real feedback — the kind that tells a student specifically what they did well, what's holding them back, and what to do next.
The problem is time. When you have 35 or 40 students, meaningful feedback for everyone adds up to hours of writing. And so most teachers — not because they don't care, but because they simply can't — end up cycling through the same handful of comments.
AI changes this equation completely.
What AI-Assisted Feedback Actually Looks Like
Here's the key shift: you don't stop being the teacher. You stop doing the typing.
The teacher's job is to observe, assess, and know the student. The typing — converting those observations into clear, well-worded written feedback — is what AI handles.
Here's a simple workflow:
Step 1: You write 2–3 lines of raw notes per student These are your honest observations. They don't need to be polished.
Example:
Riya — strong on concepts, weak on showing working steps, keeps making sign errors in algebra, generally engaged
Step 2: You give AI the context and ask it to write the feedback
Prompt:
"Write personalised feedback for a Class 9 Maths student based on these notes: [paste your notes]. Tone: warm and encouraging. Length: 3–4 sentences. Include one specific strength, one area to improve, and one actionable tip."
Step 3: AI produces a draft in seconds
"Riya, you clearly understand the underlying concepts in algebra — that's your biggest strength. Where you can improve is in showing your working clearly at each step, which will also help you catch sign errors before they become a problem. Try writing out each step on a new line, even when the calculation feels obvious. Keep going — you're on the right track."
You review it. You adjust one line if needed. Done. Thirty seconds per student instead of five minutes.
Doing This for a Whole Class
You don't need to do this one student at a time. Here's how to batch it:
After returning an assignment or test, quickly jot 2–3 bullet points for each student in a simple table or list. You can do this while you're still marking — it adds almost no time.
Then give AI the whole list:
"I'm a Class 10 English teacher. Here are my notes for 8 students after a writing assignment. For each student, write 3–4 sentences of personalised feedback in a warm, encouraging tone. Include: one specific strength, one area to work on, and one practical suggestion. Here are the notes: [paste list]"
AI generates all 8 in one go. You review and copy into your markbook or report system.
For a class of 40, this takes around 20 minutes total — including your review time.
Different Feedback for Different Purposes
AI feedback isn't one-size-fits-all. You can adapt the prompt for different situations:
For a formative quiz:
"Short feedback — 2 sentences. Focus on what to revise before the next lesson."
For a term-end assessment:
"Detailed feedback — 5–6 sentences. Cover performance trend across the term, strengths, and areas for next term."
For a struggling student (sensitive tone):
"Warm and encouraging only. Avoid any language that sounds critical. Focus entirely on small positives and one gentle next step."
For a parent communication note:
"Rewrite this student feedback as a message to the parent — professional but friendly, in simple English."
The same information. Four different outputs. Each one appropriate for its purpose.
What You Must Keep Doing Yourself
AI writes the words. It doesn't replace your knowledge of the student.
The observations — the ones that make the feedback genuinely personalised — can only come from you. You're the one who noticed that Arjun hesitates before answering, that Deepa understood the concept but rushed the execution, that Sana improved significantly since last month.
Those observations, even as rough notes, are what turn AI output from generic to genuinely helpful.
The quality of your feedback is still a reflection of your attention. AI just removes the bottleneck between your attention and the words on the page.
Want the exact prompt templates we use for subject-specific feedback — with examples for Maths, Science, English, and Social Studies?
They're part of the Elevitte AI for Teachers programme, along with live guidance on building your own feedback workflow.
Chat with Ellie to get started, or jump in for ₹101.
