# Marking.ai

> Marking.ai is the AI marking platform for schools. It marks typed and handwritten work to your marking guidelines and mark scheme, drafts feedback, and keeps teachers in control.

- [Marking and assessment glossary](https://marking.ai/glossary): Plain-English definitions of marking and assessment terms, written for teachers.

## Glossary

Concept definitions. Each page answers one question directly and stands alone.

- [AI marking](https://marking.ai/glossary/ai-marking): AI 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 learning](https://marking.ai/glossary/assessment-for-learning): Assessment 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 objectives](https://marking.ai/glossary/assessment-objectives): Assessment 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 judgement](https://marking.ai/glossary/comparative-judgement): Comparative 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 assessment](https://marking.ai/glossary/criterion-referenced-assessment): Criterion-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.
- [Exemplar](https://marking.ai/glossary/exemplar): An 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.
- [Formative assessment](https://marking.ai/glossary/formative-assessment): Formative assessment is assessment used during learning to find out what students can and cannot yet do, so that teaching can be adjusted in response.
- [Grade boundaries](https://marking.ai/glossary/grade-boundaries): Grade boundaries are the minimum marks required for each grade in a qualification, set after marking so that a grade means the same thing from one year to the next.
- [Inter-rater reliability](https://marking.ai/glossary/inter-rater-reliability): Inter-rater reliability is the extent to which different markers award the same mark to the same piece of work - a measure of how far a mark depends on who marked it.
- [Levels of response marking](https://marking.ai/glossary/levels-of-response-marking): Levels of response marking awards marks by deciding which band descriptor an answer best fits as a whole, rather than by adding up credit for individual points.
- [Mark scheme](https://marking.ai/glossary/mark-scheme): A mark scheme is the document that sets out how marks are awarded for each question in an assessment - the answers or qualities that earn credit, and how many marks each is worth.
- [Moderation](https://marking.ai/glossary/moderation): Moderation is the process by which teachers compare samples of marked work to check that a mark scheme has been applied consistently, so the same work would receive the same mark whoever marked it.
- [Non-exam assessment](https://marking.ai/glossary/non-exam-assessment): Non-exam assessment is work that counts towards a qualification but is completed outside examination conditions - coursework, practical or project work - usually marked in school and moderated by the exam board.
- [Question level analysis](https://marking.ai/glossary/question-level-analysis): Question level analysis is the practice of breaking assessment results down question by question, rather than looking only at totals, to see exactly where marks were gained and lost.
- [Standardisation](https://marking.ai/glossary/standardisation): Standardisation is the process of agreeing how a mark scheme should be applied before marking begins - typically by marking exemplar work together - so that every marker works to the same standard.
- [Summative assessment](https://marking.ai/glossary/summative-assessment): Summative assessment is assessment used to measure and report what a student has achieved at the end of a period of teaching, such as an end-of-unit test, a mock or a public examination.
- [Whole-class feedback](https://marking.ai/glossary/whole-class-feedback): Whole-class feedback is the practice of reading a set of work, recording the patterns across it, and addressing those patterns with the class together instead of writing individual comments on every piece.

## Pages

- [Book a demo](https://marking.ai/book-a-demo): See Marking.ai mark a real script against your own mark scheme, and ask the questions your school's procurement process needs answered.
- [Contact](https://marking.ai/contact): Talk to the Marking.ai team about using AI marking in your school - sales, support, and whole-school licensing enquiries.
- [Cookie notice](https://marking.ai/cookies): The cookies and similar technologies Marking.ai uses, what each one does, and how to choose which ones you accept.
- [FAQ](https://marking.ai/faq): Answers about how Marking.ai marks, who stays in control, what it costs, and how student data is handled.
- [Home](https://marking.ai/): Marking.ai marks typed and handwritten student work against your own marking guidelines, quotes the words behind every mark, and drafts feedback you approve before a student sees it.
- [Pricing](https://marking.ai/pricing): Marking.ai pricing for individual teachers and for whole schools, including what the free trial covers.
- [Privacy policy](https://marking.ai/privacy): How Marking.ai handles personal data, including student work, for schools in the UK and South Africa.
- [For students and parents](https://marking.ai/privacy/students): A short, plain-English guide for students, parents and carers: what happens to your work, whether a computer decides your mark, and your rights.
- [Security & Trust](https://marking.ai/security): How Marking.ai handles school and student data: platform security, data protection, safeguarding and responsible AI.
- [Evidence & accuracy](https://marking.ai/security/accuracy): What we measured, on a public corpus of GCSE answers each marked by two examiners, and what the results do and do not establish.
- [GCSE English Language study](https://marking.ai/security/accuracy/english): Marking.ai marked 240 double-marked GCSE English answers as closely as a second examiner, and more closely than a general AI model given the same mark scheme.
- [GCSE Mathematics study](https://marking.ai/security/accuracy/maths): Marking.ai marked 240 double-marked, handwritten GCSE Maths answers as closely as a second examiner. The full results, including where a general AI model matched us.
- [PAIA manual](https://marking.ai/security/paia): Marking.ai's manual under section 51 of South Africa's Promotion of Access to Information Act: how to request access to a record, and the records we hold.
- [Sub-processors](https://marking.ai/security/sub-processors): Every third party that processes school or student data on behalf of Marking.ai, and what each one does.
- [Terms of service](https://marking.ai/terms): The terms governing use of Marking.ai by schools, departments and individual teachers.

## Blog

Articles on marking, assessment and AI in schools, newest first.

- [Can AI mark accurately? A framework for evaluating AI marking](https://marking.ai/blog/how-to-evaluate-ai-marking-accuracy): There is no single meaningful percentage that answers whether AI can mark accurately. A credible answer depends on the assessment being marked, the benchmark used, the way agreement is measured, and the decision the school is actually trying to make.
- [Aligning AI Marking with UK Curriculum Standards](https://marking.ai/blog/aligning-ai-marking-with-uk-curriculum-standards): How AI marking fits with AQA, Edexcel and OCR mark schemes: the difference between points-based and levels-based marking, what the Ofqual and DfE rules actually require, and why the teacher remains the marker.
- [AQA GCSE Geography Paper 1: Complete Teacher Breakdown + Tips](https://marking.ai/blog/aqa-gcse-geography-paper-1-complete-teacher-breakdown-tips): What is on AQA GCSE Geography Paper 1: the three sections, how the 88 marks are distributed, which topics are compulsory and which are chosen, and what is worth drilling with a class before the exam.
- [How to Mark Student Work Using ChatGPT](https://marking.ai/blog/how-to-mark-student-work-using-chatgpt): A practical guide to marking with ChatGPT: how to set it up, the prompts that produce useful feedback rather than vague praise, what to check before anything reaches a student, and where a general-purpose chatbot runs out of road.

## Other surfaces

- [Product app](https://get.marking.ai): Sign in and use Marking.ai.
- [Help Centre](https://support.marking.ai): Product documentation and support.

## Notes

- Canonical entity: https://marking.ai/#organization (see the JSON-LD @graph on any page).
- British English throughout.
- Full URL list: https://marking.ai/sitemap.xml