The position
The mark is not the measurement
Indian schooling optimises hardest for the one measurement that cannot say what a student should do next. What follows is that problem, the harder problem underneath it, and the publication policy both lead to: questions published first, methods kept private, and every study published with its method.
- Published
- Positions, directions, open questions
- Kept private
- Methods, parameters, architectures
- Written
- 29 August 2026
- Status
- Open to argument
Take two students who score sixty-two. One cannot handle a negative sign; the other cannot turn a sentence into an equation. The mark says the same thing about both, and says it in March.
The position in full
Four sections. The publication policy that follows from them is set apart below.
The mark is not the measurement
A mark is a scalar, produced at the end of a unit, a term or a board year, by a person with a stack of papers and a syllabus still to finish. It stands in for everything a student knows about a subject.
This is not an argument against examinations. A common paper, externally set and externally marked, is among the fairer instruments Indian schooling has: comparable across schools that share nothing else, portable, auditable, and indifferent to whom a family knows. It is also close to incorruptible, and that is the property any richer account of a student will find hardest to match. A detailed claim about a child, produced by a vendor, inside a system that allocates scarce seats, invites precisely the pressure the examination was built to resist.
The argument here is narrower. The mark is a serviceable instrument for ranking and a poor instrument for teaching, and Indian schooling uses it for both, because at the point where a decision about a child is made it has nothing else it trusts.
Consider two students who score sixty-two on the same mathematics paper. The first can carry out every procedure the paper asks for and loses marks in every long question to one habit: she drops the sign when she distributes a subtraction across a bracket. That is a single motor error, ten minutes of attention, correctable on a Tuesday. The second answered the quadratics section without a mistake and could not start the word problems, because he cannot turn four lines of English into an equation. His difficulty is not in mathematics. Both are sixty-two, both are entered in the register as average, and if the school runs remedial classes at all, both are sent to the same one and given more of the same paper.
What the compression discards is never general. It is always something specific, and always the thing the teacher would have needed: which topic, which misconception, which prerequisite, which skill. There is a fifth loss, different in kind from those four, and it is the one that should trouble people most: which moment.
Marks are produced after. After the unit is closed, after the class has moved on, after the misconception has been rehearsed for three weeks and become the student’s settled method. The window in which that sign error was cheap to fix opened in the second week and shut long before the report card was printed. A number that arrives after the moment in which it could have been used is not a measurement of learning. It is a record of an outcome.
Because the mark is the measurement the system trusts most, teaching bends towards it: previous years’ papers, the expected question, the marking scheme, the answer that scores. That is not a failure of teachers, who are behaving rationally under the only instrument they are held to. It is a property of the instrument. A measurement that compresses will, given enough pressure and enough years, produce a curriculum that compresses.
That argument does not stop at the mark. Anything proposed in its place inherits it, and a finer account of a child offers more surfaces to optimise than a single number does, not fewer. If a school is ranked on how many gaps it closes, gaps will close on paper. If a teacher is appraised on the same account, it becomes a document written for the appraiser rather than a description of a child. Our view is that this deformation would be worse than the mark’s, because a description is easier to curate than a common paper marked by a stranger, and the sign that it has begun is a school asking for the record to be improved rather than for the child to be taught. Before it buys anything, a school should ask any supplier proposing to stand in for the mark who sees the account, who is ranked on it, and what happens to it at an inspection.
Diagnostic alternatives to the mark have been put to Indian schools for a long time, some of them by the state. Our view is that they failed on the teacher’s week more often than on their theory, by asking for time that does not exist. Any account of this problem that does not begin from the teacher’s week is describing a different country.
- Which topic
- A term aggregate of sixty-two can be a flat sixty-two across every chapter, or full marks everywhere and near-zero in one. The teacher cannot tell which, and the two demand opposite responses. Test: can the number distinguish a broad weakness from a single hole? It cannot.
- Which misconception
- Treating a function as though it distributes over addition is a specific, stable, teachable error with a name. In the mark it appears as three lost marks, indistinguishable from carelessness. The error is more diagnostic than the score, and it is the part that is thrown away.
- Which prerequisite
- A student who cannot balance a chemical equation is often not failing at chemistry but at ratio, four years earlier. Marked in chemistry, remediated in chemistry, and therefore not remediated. Prerequisite failures recur in new subjects, which is why they present as a general weakness.
- Which skill
- A physics answer marked wrong for units, a mathematics answer lost to arithmetic, a biology answer lost to the time taken to read the question in a second language. Three different failures, one column in the register. Language failure recorded as subject failure is, in our view, the most consequential misattribution in Indian assessment.
- Which moment
- The error was cheap on the Tuesday of the second week. The mark arrives in March. Everything between those two dates was rehearsal of the wrong method. Lateness is not a defect of implementation. It is what a summative instrument is for.
What synthetic memory means
Synthetic memory is the account of one learner that an AI tutor keeps: what she has shown, gathered on purpose and kept beyond the lesson, the term and the teacher who saw it, so that somebody can teach her better this week and she can take it with her when she moves on. Synthetic, because it is made rather than carried in a teacher’s head. Memory, because it lasts. Knowledge about learning, kept in order to teach.
The distinction that matters is between a record and a model. A record states what a student produced: this answer, that score, this many minutes, on that date. Indian schools already hold far more records than they can use, and digitising a record does not change its kind. A model states what a record cannot: what a student knows, what she can do, and what she is ready for next.
Those are three different kinds of claim about a person, not one claim with three names. Knows is a claim about a present state that is not directly observable. Can do is a claim about a capability under conditions, and the conditions are doing more work than anyone admits. Is ready for is a claim about a future, inferred from a past that was thinly observed. A system that treats the three as interchangeable will be confidently wrong in a way that is hard to detect from outside it, and harder from inside.
This is why the difficulty is representational before it is technological. The questions below have to be answered before any question of method arises, and a claim that passes over them has not avoided answering them. It has answered them by accident.
The representations we work with are not described on this site. Whether the useful unit is the student, a topic, or something narrower again is an open question, and this site treats it as one. The point survives whatever anyone chooses to build: if the representation is wrong, nothing downstream repairs it, and a great deal downstream will make a wrong representation persuasive, which is to say fluent, confident, rendered in a dashboard and unfalsifiable. The field’s characteristic failure is not weak technology. It is strong technology resting on an unexamined account of what a learner is.
Synthetic memory, used as this page uses it, names an object of research. PrepGraph’s tutor already keeps a memory a learner can read and erase; how such an account is kept true, carried and checked is the research, and anyone using the term, ourselves included, can fairly be asked which of the three claims above they mean and what observation would show them to be wrong about it.
- What is the unit
- A topic, a procedure and a misconception are three different kinds of thing, and they do not decompose into one another cleanly. Ask anyone who claims to know where a student stands which of them the claim is about. A direction that cannot name its unit of analysis has not yet stated a question.
- Whose property is knowing
- A child may execute a procedure on Monday and not on Thursday, in her first language and not her second, at the blackboard and not on paper, alone and not beside a friend. Knowing may be a property of a student and a context together, in which case a claim about the student alone is malformed. If that is so, the portability of a claim across contexts has to be demonstrated, not assumed.
- The same place
- Every grouping, every recommendation and every intervention rests on the phrase two students are at the same place. The phrase does the entire work and is almost never defined. Test: state the condition under which two students are at the same place, without referring to their scores.
- Ready for what
- Readiness is a claim about a future that has not happened, made from evidence gathered under conditions that will not recur. What licenses the word, and under what representation is such a claim even well formed? A claim of readiness should be able to answer this before anyone acts on it.
Why this is a research problem and not a feature
A model of a learner is easy to make plausible and hard to make survive.
Plausibility is cheap because the case everyone reasons from is clean: one learner, dense and continuous evidence, an attentive tutor who can ask a follow-up question the moment something looks wrong, a single language, unlimited time, no syllabus deadline. Much of what we have read about adaptive learning describes, structurally, that situation. The Indian classroom inverts nearly every one of those conditions at once, and the inversions interact.
The real question is whether an account of a learner that is adequate under those conditions degrades gracefully or collapses. Our working belief is that it collapses, and that the collapse is not accuracy falling by some margin but the model’s claims quietly changing meaning. A claim earned in a tutoring setting becomes, in a room of fifty-five with shared devices and circulated notebooks, a claim about something else entirely, while continuing to be worded in the same way.
There is also an evidence problem. The studies we work from were run in other class sizes, other languages, other assessment cultures and other incentive structures, and transfer to a Class X section in a Tier-2 Indian school is something a supplier should have to show rather than assume. That is a question a school can put to anyone, us included. Where was your evidence gathered, in what class size, in which language of instruction, and who paid for it.
One blunt test, which we would apply to any claim of this kind, our own included. Show an experienced teacher several accounts a system has produced of students in her own section, with the names removed, and mix in among them an account of a child she has never taught. Ask her to place them. If she cannot do better than she would by guessing, or cannot reject the stranger, she has been shown fluent prose and not an account of anyone. If she can, two answers are worth having, and the more useful of the two is that is wrong about Divya, because a falsification is something a person can act on the same afternoon. A test with no foil in it measures plausibility, which is the property such prose has whether or not there is anything behind it.
The open questions, stated plainly. Whether a representation adequate for procedural mathematics carries over to a subject in which the answer is an argument rather than a result. How much of what presents as a knowledge gap in an English-medium classroom is a language gap wearing its clothes; if that share is large, a great deal of what is read as evidence about what a student knows is evidence about how fast she reads a second language. Whether the evidence a real school can afford to collect, in the time it actually has, is sufficient in principle to support the claims people want to make from it. And whether a teacher told something true and specific about a student on Tuesday has the time to act on it: the constraint every part of this programme is designed around.
- Evidence is sparse
- A teacher across five sections may see any individual student’s unaided written work once a fortnight. Inference about a person from that much signal is a hard statistical situation, not an engineering inconvenience. Sparsity is structural. Instrumenting more of the room does not produce more independent work from any one child.
- Evidence is not independent
- Students sit close, help one another, and circulate the strong student’s notebook the night before submission. This is ordinary classroom life, not misconduct, and it breaks an assumption that is easy to make without noticing: that a piece of work is evidence about the person who submitted it. Treating shared work as independent evidence produces a model that is most confident exactly where it is most wrong.
- A wrong answer is ambiguous
- The same blank space can mean the concept was never understood, the question was misread, the English was too slow, the time ran out, or the student had decided by then that the paper was lost. Disambiguating these requires evidence the classroom does not naturally produce. A system that guesses between them fails invisibly, because the output reads the same either way.
- Identity is uncertain
- Devices are shared between siblings, between friends, and with a parent. An interaction record is not reliably a record of one person. Any claim about a student rests on an identity assumption that is often simply untrue, and the error compounds silently over a term.
- The calendar does not move
- The syllabus must be finished. A system whose recommendation is to spend three more days on this chapter is recommending something no teacher in the country is permitted to do. Usefulness is bounded by what is actionable inside a fixed calendar, which rules out any advice that assumes the calendar is negotiable.
- The spread is inside one room
- A single section commonly contains students years apart in a prerequisite. Whole-class recommendations are therefore wrong for most of the class by construction. This is the condition that makes the problem interesting, and the one a school should ask any supplier whether its evidence was gathered under.
What would make this worth doing
The standard is narrow, it is inconvenient, and it is the one we would want applied to anybody else making claims about Indian classrooms.
The work is worth doing if a teacher of fifty-five, given no additional hours in her week, ends a Tuesday knowing one true and specific thing about one named student that she would otherwise have learnt in March, and can do something about it before Thursday. That is the whole of the ambition. It is a smaller claim than the field usually makes and considerably harder to satisfy, because every constraint in it is real: no extra time, a named student, an actionable window, and true.
The conditions below are what we would accept as failure, stated in advance rather than discovered later in a testimonial.
- It must be able to fail
- There has to be an observation that would tell us the work is not worth continuing. Work that no evidence could stop is not research, whatever the output looks like. Applies to each direction separately. A programme that survives every possible result is a marketing plan.
- The gain must land at the bottom of the room
- The strongest students in any section have always found ways to learn, and almost anything will help them. If the average improves because the already-capable improved, the thing worth doing has not been done. The distributional question has to be asked before the average one, or the average will hide the answer.
- The teacher must be able to overrule it
- When a teacher contradicts an account of her student, she is usually right, and the disagreement is the most informative thing in the exchange. It has to be recorded and treated as evidence, not absorbed as noise. A system that cannot be contradicted in a way that changes it is not being evaluated by anyone.
- It must hold in the second language
- For a large share of Indian students the medium of instruction is not the language of the home. Anything that works only when comprehension is not the binding constraint has been evaluated on the easy half of the problem. Language failure recorded as subject failure is the specific error to guard against.
- It must respect what the calendar allows
- Advice a teacher cannot act on inside a fixed syllabus is not advice. Usefulness is bounded by what fits into the week the school actually has. Advice that assumes the calendar is negotiable is ruled out before anything else about it is considered.
- A school must be able to leave
- A school that stops working with us should be able to take what it has accumulated and go. Dependence is not evidence of value. If the case for staying rests on the cost of leaving, the work did not earn the position it holds.
Publication · the policy this site runs under
What we publish, and what we do not
This site publishes positions, research directions and open questions. It does not publish methods, parameters, architectures or system descriptions, and a result is published only as a study, with its method attached.
A result without its method is not a result. A percentage in a paragraph, an effect size in a brochure, an accuracy figure beside a logo: these have the grammar of evidence and none of its substance, and a reader has no way to interrogate them. The harm is not mainly that one buyer is misled. It is that a school leader who reads enough of them stops being able to tell any two claims apart, and the market then rewards whoever prints the largest number. So every result we publish will appear as a study, with its method stated, its setting described, its sample and exclusions declared, its analysis specified in advance, and someone without our interest in the outcome involved in producing it.
Methods stay private for a plain reason. Anything sufficient for a competent engineer to reconstruct is, for our purposes, publication, and we publish work when it can be judged as a study, not in outline through a diagram on a research page.
One class of finding is published as it arrives. Every direction on this site names the observation that would show it to be wrong, and when that observation arrives the direction’s status — sustained, revised or retired — is published here with the date it changed, whether or not a full study follows. A finding that a direction is right is claimed only as a study, with its method attached. A reader deciding whether any of this is load-bearing can watch the status of the directions rather than take this paragraph on trust.
What this leaves is the contestable part: a position a reader can disagree with, a problem described precisely enough that a rival account of it can be given, a question stated with its unit of analysis named, and a statement of what would show us to be wrong. That material can be argued with by someone who has never seen our systems, which is exactly the property we want it to have.
Who we are belongs in the text rather than a footnote. PrepGraph is an AI learning company, working in India and the United States, from school to first job. It sells learning software to students, families and schools, and runs a research programme on how learners remember and build skills. Every finding of ours that bears on our own products will be published with its method, so that a party without our interest in the outcome can reproduce it. The PrepGraph Council for Responsible AI & School Innovation – India is convened and funded by PrepGraph; it certifies nothing, and it endorses no vendor, PrepGraph included.
Policy What this site publishes, and how
Published
- Positions
- Research directions
- Open questions
Kept private
- Methods
- Parameters
- Architectures
- System descriptions
Published with its date
- The status of each direction: sustained, revised or retired
Published as a study
- A result, with its method, its setting and its sample attached
Colophon
Notes on this page
- This site publishes no platform figures by design: no counts of students, schools, items or sessions, and no accuracy or benchmark numbers. What a reader can hold this site to is the status of each research direction and the date on which it last changed.
- This page was first published on 29 August 2026.
- Disclosure: PrepGraph sells learning software in the market this research concerns, and every finding that bears on its own products will be published with its method attached, so that others can reproduce it.
- The PrepGraph Council for Responsible AI & School Innovation – India is a forum convened and funded by PrepGraph. It certifies nothing and endorses no vendor, including PrepGraph.
- Related properties: the company and its tutor at prepgraph.com, courses and certificates at courses.prepgraph.com, hiring at talent.prepgraph.com, teacher professional development at academy.prepgraph.com, the school programme at partners.prepgraph.com, and the Council at council.prepgraph.com.
- Classroom conditions referred to throughout, including sections of forty to sixty and the fifty-five used as a running example, describe the ordinary Indian secondary classroom. They are not measurements of anything we operate.
Next
Where this argument is taken up
Research
Four Research Directions
These four directions were chosen because each names something that breaks in an ordinary Indian classroom, and each is a problem this programme sets out to solve.
Read the four directionsPrinciples
Ten Positions on AI in School
Ten positions on what AI should and should not do to learning. Each is stated so that a competent person could reject it, and each carries a demand a head teacher could make of any supplier, ourselves included.
Read the ten positions