How Marking.ai is different
Most teachers considering AI marking are choosing between a general-purpose chatbot and carrying on by hand. Here is how those compare.
Why not just use ChatGPT to mark?
A general-purpose chatbot will give you a mark, but it marks against its own idea of a good answer rather than your mark scheme, it does not reliably show which words earned which mark, and it has no memory of the standard it applied to the previous script. Marking.ai marks against criteria extracted from the guidelines you upload, cites the student's own words for every mark, and applies the same configuration to every script in the set.
The two comparisons worth making
Most teachers considering AI marking are choosing between a general chatbot and carrying on by hand.
A mark you can check against the words that earned it
Whatever you compare us with, this is the part to compare on. Marking.ai marks against the marking guide you upload and returns the exact words in the student's answer behind each mark, with the page they were found on. A tool that gives you a mark and no evidence gives you something you have to take on trust or redo yourself.
- Marked against your own uploaded guide, criterion by criterion
- The exact student text and page number behind each mark
- You review, change what you disagree with, and approve
Compared with marking by hand
Marking by hand is the real alternative for most teachers, and it has one clear advantage: the teacher reads every word. Marking.ai does not remove that - it moves it. You still read the scripts; you read them alongside a drafted mark and the evidence for it, and spend your attention on the judgement calls rather than on recording the obvious.
What changes is the first pass. What does not change is who decides.
Common questions
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.
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.
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.
See it mark a real answer
Book a demo for your school, or start free and mark your own work - no card required.
