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How Multi-Academy Trusts Can Reduce Marking Workload

GradeOrbit Team·Education Technology
7 min read

Marking workload is consistently cited as one of the leading causes of teacher stress and burnout in the UK. The 2023 Teacher Workload Survey found that teachers spend an average of four to five hours per week on marking alone — time that comes largely from evenings and weekends. Across a multi-academy trust, that figure multiplies rapidly. Ten schools, each with a hundred teaching staff, represents thousands of hours every week spent on assessment that could be better distributed.

For trust leaders, this is not just a wellbeing issue — though it is that. It is also a recruitment and retention issue. Teachers who leave the profession consistently name workload as a primary factor. Addressing marking at scale is therefore one of the highest-leverage things a trust can do to improve staff satisfaction, reduce turnover, and protect the quality of teaching across its schools.

This guide is for trust leaders, curriculum directors, and heads of school who want to think about how AI-assisted marking can be implemented consistently across multiple sites.

The Cost of Inconsistent Marking Across a Trust

In many trusts, marking is handled differently from school to school, department to department, and sometimes teacher to teacher. One school may have a detailed marking policy with clear time expectations; another may rely on individual heads of department to set their own standards. One English department may use whole-class feedback sheets; another may write individual comments on every piece of work.

This inconsistency has real costs. Students who move between schools within a trust receive feedback in different formats and to different depths. Teachers who transfer between sites face a period of adjustment. And when trust leadership tries to understand where marking workload is highest, the data is hard to interpret because the baseline is different everywhere.

Standardising the tools that underpin marking — not the professional judgements teachers make, but the processes they use to record and generate feedback — is a practical starting point for reducing this variation.

Standardising Assessment Criteria Across Schools

One of the most time-consuming aspects of marking is the upfront work of translating a mark scheme into consistent assessment criteria. A Year 10 History teacher at one of your schools and a Year 10 History teacher at another may both be teaching AQA, but the way they have interpreted and documented the mark scheme for a particular assessment may differ significantly. When both teachers are doing this work independently, effort is duplicated and consistency suffers.

GradeOrbit allows teachers to define marking criteria once and reuse them across class sets and across sessions. For a trust, this creates an opportunity to develop shared criteria for common assessments — end-of-term tests, mock papers, internal coursework tasks — that can be distributed to all teachers delivering that unit. Teachers at every school start from the same baseline, the AI applies it consistently, and the trust gets comparable data across sites.

This does not remove teacher judgment. Every AI-suggested grade in GradeOrbit is a recommendation that the teacher reviews and approves. But it means teachers are reviewing rather than marking from scratch, which is significantly faster — and the shared starting point means the results are more comparable across the trust.

How GradeOrbit Works at Department and Trust Level

GradeOrbit supports the full range of qualification types used across UK secondary schools: GCSE, A-Level, and KS3, with compatibility across AQA, Edexcel, OCR, and other exam boards. Teachers enter their marking criteria — including banded descriptors for extended writing, or point-based mark schemes for shorter answers — and GradeOrbit uses Google Gemini AI to assess student work against those criteria.

For each piece of submitted work, GradeOrbit returns a suggested grade and categorised feedback covering strengths and areas for development. The teacher reviews the output, adjusts where necessary, and confirms the final mark. The AI handles the initial heavy lifting; the teacher's professional knowledge handles the edge cases and the context.

For trust leaders, this means that a GCSE English department at one of your schools and a GCSE English department at another can both be using GradeOrbit to mark the same assessment, with the same criteria, and produce outputs that are genuinely comparable. That has implications for quality assurance, moderation, and the kind of cross-school data analysis that would otherwise require significant manual coordination.

Scanning Physical Work at Scale

A significant proportion of student work across secondary schools is still produced on paper — exam scripts, classwork, homework submitted in exercise books. GradeOrbit is built with this in mind. Teachers can photograph physical papers using their mobile phone, with GradeOrbit providing a QR code that connects the phone camera directly to the desktop session. There is no need for scanners, specialist software, or technical setup.

This matters at trust level because it means GradeOrbit can be deployed without requiring infrastructure investment. A teacher at any school within the trust can start uploading physical student work within minutes of setting up an account. The barrier to adoption is low, which is important when you are trying to introduce a consistent tool across multiple sites with varying levels of technical resource.

Before uploading, teachers use GradeOrbit's built-in redaction tool to draw black boxes over student names and any other identifying information. Student work is processed anonymously — students appear as Student 1, Student 2, and so on. This is consistent with GradeOrbit's privacy-first design: student work is never stored on GradeOrbit's servers after processing.

Supporting ECTs and Non-Specialist Teachers Across the Trust

Marking workload falls disproportionately on early career teachers and on teachers working outside their specialism — a common situation in smaller schools within a trust. An ECT in their first year may be working through a class set of GCSE essays without having developed the pattern recognition that makes experienced teachers faster. A teacher covering a subject they did not train in may be uncertain about mark scheme interpretation, leading to slower, less confident marking.

GradeOrbit supports both groups. For ECTs, the AI-generated first pass provides a structured starting point — the tool identifies what criteria have and have not been met, and the teacher builds their judgment from there rather than starting from a blank page. Over time, this scaffolding can help ECTs develop their marking fluency more quickly. For non-specialist teachers, GradeOrbit's criteria-based approach means that as long as the mark scheme has been correctly entered — ideally by a more experienced colleague or curriculum lead — the quality of the initial assessment does not depend on deep subject expertise.

For trusts that have invested in developing marking consistency and moderation processes, GradeOrbit gives those processes a practical infrastructure to run on. The criteria developed through departmental moderation can be embedded directly into GradeOrbit's marking setup, ensuring that all teachers — experienced or early career, specialist or non-specialist — are applying the same standards.

Start Reducing Marking Workload Across Your Trust

GradeOrbit is used by UK secondary school teachers across a range of subjects, year groups, and exam boards. Its design reflects the realities of UK classroom marking: physical papers, handwritten student work, exam board mark schemes, and the professional judgment of teachers who know their students.

For trust leaders looking to address marking workload at scale — not just in one classroom, or one department, but consistently across multiple schools — GradeOrbit provides a tool that is straightforward to deploy, low in infrastructure cost, and designed to support rather than replace teacher expertise.

If you want to understand how GradeOrbit fits into a broader workload strategy, our guide on how to reduce your marking workload as a UK teacher covers the wider context.

Sign up to GradeOrbit and explore how AI-assisted marking can work across your trust.

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