Marking.ai and marking by hand
Marking by hand has a real advantage: you read every word. That does not go away - it moves.
What changes if I mark with Marking.ai instead of by hand?
You still read every script. What changes is that you read each one alongside a drafted mark and the exact words that earned it, so your attention goes to the judgement calls rather than to recording the obvious. You approve, adjust or override each mark, and nothing reaches a student until you do.
Side by side
What each approach gives you, without a claim about how long either takes.
| Feature | Marking.ai | By hand |
|---|---|---|
| The teacher reads every script | Yes | Yes |
| The teacher decides the final mark | Yes | Yes |
| A first pass is drafted before you start | Yes | No |
| Evidence recorded against every mark | Yes | Rarely |
| The same standard applied to script one and script thirty | Yes | Hard |
| Written feedback drafted per question | Yes | No |
| Question-level analysis without extra data entry | Yes | No |
The first pass is already done when you sit down
Marking by hand, the first read of thirty scripts and the judgement are the same act. Here they come apart: the set is marked against your criteria before you open it, and what you sit down to is a set of proposals with their evidence attached. When a script cannot be read, it says so in plain English and tells you what to fix - it never guesses, and it never blames the student.
- The whole set marked against your criteria, ready to review
- Every mark carries the words that earned it
- A failure is explained, not hidden
What marking by hand does better
Reading a class set end to end tells you things no summary does - which misconception has spread, which student has quietly stopped trying, where your own teaching landed and where it did not. That is not a by-product of marking; for many teachers it is the point of it.
Marking.ai does not replace that reading. It removes the part of the work that is transcription rather than judgement: deciding, for the twenty-eighth time, that this paragraph does meet this criterion, and writing that down.
What changes, and what does not
What changes is the first pass. What does not change is who decides - every mark and every comment is reviewed by the teacher before a student sees it.
The write-up comes out of the marking, not out of nothing
The part of marking by hand that hurts most is writing the same paragraph thirty times. A student's summary is assembled from the questions already marked, so it refers to what they actually wrote - and you edit it into your own words before anyone sees it.
- Drafted from the marked questions, not generated from a prompt
- Editable in full before it is shared
- Nothing is released until you approve it
Judge it against your own marking
Mark one set you have already marked by hand, and compare. No card required to start.
In short
- You still read every script; you read it alongside a drafted mark and the evidence for it.
- The teacher approves, adjusts or overrides every mark, and nothing reaches a student until they do.
- The same criteria are applied to the first script and the last, which is difficult to hold by hand.
- Question-level analysis comes out of the marking you approved, with no separate data entry.
Common questions
Will it replace or deskill teachers?
No. Marking.ai drafts; teachers decide. Nothing is released until a teacher approves it. It removes the repetitive first pass so teachers spend more time teaching and on the judgement only they can make.
Isn't AI marking inaccurate?
Marking.ai marks to your marking guidelines and mark scheme criterion by criterion, and shows the evidence behind every mark - so it's accurate and auditable, not a black box. It stays consistent across a whole class, and a teacher reviews and approves every mark before it reaches a student: a faster first pass, not an unchecked final mark.
How much time does it actually save?
We do not publish a figure, because we do not have one we would stand behind. Any number you see quoted for AI marking - including our own in-product estimate - is a model rather than a measurement. Run a class set you have already marked and compare; that is the only figure that means anything for your subject and your mark scheme.
Assessment terms explained
Plain-English definitions of the vocabulary used on this page.
- AI markingAI marking is the use of artificial intelligence to assess student work against defined criteria - a mark scheme or a teacher's own marking guidelines - and to draft marks and feedback for a teacher to review.
- Assessment for learningAssessment for learning is the practice of using evidence of what students currently understand to decide what to teach next, and to help students see what they need to do to improve.
- Assessment objectivesAssessment objectives are the categories of skill a qualification tests - commonly labelled AO1, AO2 and AO3 - each carrying a defined share of the available marks.
- Comparative judgementComparative judgement is an assessment method in which markers repeatedly choose the better of two pieces of work, and those paired decisions are combined statistically into a rank order.
- Criterion-referenced assessmentCriterion-referenced assessment judges work against defined standards of what a student should know or be able to do, rather than against how other students performed.
- ExemplarAn exemplar is a piece of work - often a real student answer - presented with its marks and commentary to show what a particular standard looks like in practice.
Judge it against your own marking
Mark one set you have already marked by hand, and compare. No card required to start.
