Assessment and Feedback

AI Grading: What It Should Mark and What It Should Never Mark

AI grading explained in plain words: what auto grading should mark, where an AI grader may draft a mark, and what a teacher must mark alone.

Munawwar Khan
Munawwar Khan Agentic AI Engineer, Researcher, Leader and Trainer. Former teacher, current parent
5 يناير، 2026 5 دقائق قراءة 37 مشاهدات
AI Grading: What It Should Mark and What It Should Never Mark

AI grading is the feature teachers want most and trust least, and both instincts are right. Marking is the part of the job that eats evenings. It is also the part where the teacher learns what the class actually understood. Hand all of it to a machine and you save the evenings and lose the learning. The useful question is not "should AI grade?" but "which marking should it do, and which must stay with me?"

I build AI systems and I was a teacher before that. This post draws the line in plain words: what an AI grader is good at, where it fails quietly, and a way to use auto grading that keeps the teacher in charge.

How AI grading actually works, in two kinds

There are two very different things sold under one name.

  • Rule-based auto grading. The answer key says "C" or "7.5" or "photosynthesis". The student's answer is compared. No AI is involved, and that is a strength: it is exact and never changes its mind.
  • Model-based AI grading. A language model (the AI that reads and writes text) is given the student's answer, a rubric and some instructions, and it writes a mark and a comment. It is pattern matching on a very large scale. It does not understand the essay the way you do; it predicts what a mark for text like this usually looks like.

The first kind is safe anywhere the answer is fixed. The second kind is useful, and it is where all the caution belongs.

What AI grading should mark

Everything with a fixed answer. Multiple choice, true or false, matching, numeric answers, short factual answers with a small set of accepted forms. This is the marking that teaches you nothing while you do it; you already know the answers. Auto grading here is pure time back, and the per-question results are more useful than the ones you would have tallied by hand at midnight.

Two conditions: the answer key must be right (check it before students see the quiz), and the per-question results must come back to you, not only a total. "Twelve students missed question 6" is the information that changes Monday's lesson.

What AI grading can draft, with the teacher deciding

Longer answers against a rubric: a paragraph explanation in science, a short essay in history, a structured response in English. Here an AI essay grader can do the first pass: read 30 responses against your rubric, propose a band for each criterion, and point to the sentences that justify the band.

Treat that as a colleague's suggested marks, not as grades. Read every one. You will agree with many, change some, and in doing so you still learn what the class understood. The time saved is in the writing of the comment, not in the reading. If reading is skipped, the grading has not happened.

Three rules for this zone:

  1. The rubric is yours and it is specific. "Good use of evidence" is not a criterion a model can apply consistently. "Quotes the source at least twice and explains each quote" is. See analytic vs holistic rubrics.
  2. The AI shows its reasons. A band with no pointed-to sentence is a guess. Ask for the evidence.
  3. Students know. If a draft mark came from an AI, say so, and say that you reviewed it.

What AI grading should never mark

  • Anything high-stakes on its own. End-of-term grades, exam marks, anything on a report card. The teacher marks; the AI may help draft.
  • Creativity, voice, originality. A model rewards text that looks like typical good text. An unusual, honest, slightly messy piece from a student who finally wrote something real will get a middling band. You would not give it that.
  • Effort and progress. The AI sees this piece of work. You see this student in October compared with September.
  • Second-language writing against a native-speaker standard. Models can mark down the grammar and miss the thinking. Decide what the task is assessing before you let anything mark it.
  • Work where the student might have used AI. AI grading AI-written work is a loop with no learning in it. That is a conversation, not a mark.

As a parent, I would want to know which of my child's marks a person looked at. Most parents would. Plan for that question.

A classroom example: Grade 9 science, one assessment, three zones

A Grade 9 science teacher sets an end-of-topic assessment on photosynthesis: ten multiple-choice questions, four short calculations, and one six-mark explanation ("Explain why a plant in a dark cupboard loses mass").

PartWho marksWhat the teacher gets
10 multiple choiceAuto grading from the answer keyPer-question results: 14 of 28 missed question 7 (limiting factors)
4 calculationsAuto grading, accepted forms set by the teacherWho used the wrong unit
6-mark explanationAI first pass against her rubric, teacher decides every markDraft bands with the sentences that earned them; she changes six of 28

Her marking time went into the 28 explanations, where it belongs. Question 7 becomes Monday's starter. The six marks she changed were all students whose explanation was right but used their own words instead of the textbook's. The AI had not seen that. She had.

How TeachBuddy AI helps

TeachBuddy AI follows the same line. Quizzes and interactive worksheets inside a Space are auto-marked for objective questions, with results per student. Assignments in a Space carry a rubric, and AI auto-grading is optional: you turn it on per assignment, and the draft marks are yours to change. Summative assessments come with a mark scheme and a marking guide (rubric) so the first pass has something specific to follow.

Nothing is sent to a student or written to a profile without the teacher. For the writing side, where comments matter more than marks, read AI feedback on student writing with the teacher in the loop, and for building the key, mark schemes that match the worksheet. Free for teachers.

Frequently asked questions

Is an AI essay grader accurate?

Against a specific rubric and with reasons shown, it is a useful first pass that agrees with teachers often enough to save time. It is not accurate enough to be the final mark on its own, and it is weakest on originality and second-language writing.

What is the difference between auto grading and AI grading?

Auto grading compares an answer with a fixed key; no AI, exact, safe for objective questions. AI grading uses a language model to judge open answers against a rubric; it drafts, and the teacher decides.

Should I tell students an AI grader was used?

Yes. Say which parts were auto-marked, which had an AI first pass, and that you reviewed every mark. Students and parents accept the help when the teacher is clearly still the one marking.

Let the machine mark what has a fixed answer and keep the judgement for yourself. Create a free TeachBuddy AI account and set up your first auto-marked quiz.

Munawwar Khan
عن الكاتب Munawwar Khan Agentic AI Engineer, Researcher, Leader and Trainer. Former teacher, current parent

Munawwar is the technical founder of TeachBuddy AI. A former teacher and a parent, he builds the agentic AI behind the platform and writes about what AI can and cannot do in a classroom.

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