|
You&AI
White Paper · Part II — Education Sector
The School Readiness Feedback Loop
A structured AI-readiness diagnostic for headteachers and computing leads — designed to generate an honest baseline, not a compliance audit, and to surface where schools most need support.
IN PARTNERSHIP WITH You & AI AUDIENCE Headteachers & Computing Leads CLASSIFICATION Official — Sensitive
Education Sector Application: The School Readiness Feedback LoopThe introduction of generative AI educational assistants into school settings presents a set of complex readiness challenges. In a school, the primary governance concern is not only GDPR compliance and accuracy of information - but they are joined by a set of additional considerations that are, in many respects, more fundamental: the safeguarding of children, the integrity of the learning process, the professional autonomy of teachers, and the particular vulnerability of children with special educational needs, looked-after status, or backgrounds that place them at elevated risk of harm in an unmanaged digital environment. Schools are not monolithic. A well-resourced grammar school with a dedicated computing faculty and an experienced Digital Safeguarding Lead is in a categorically different readiness position than a two-form entry primary with a single non-specialist teacher managing the computing curriculum alongside three other subject responsibilities. Any AI readiness assessment tool designed for the education sector must be honest about this variation and must not implicitly assume a baseline of resource, capacity, or expertise that many schools do not have. The School Readiness Feedback Loop is a structured diagnostic designed to be sent directly to headteachers and computing leads. It is not a compliance audit — it does not carry punitive implications. Its purpose is to generate a realistic baseline assessment that enables targeted support, training prioritisation, and safeguarding intervention where needed. For schools receiving this diagnostic through You & AI, responses will be reviewed by an AI Policy Advisor and returned with a personalised School AI Readiness Report within ten working days. Instructions for Headteachers and Computing LeadsPlease complete this diagnostic collaboratively. We recommend that the headteacher and computing lead (or, in primary schools, the designated safeguarding lead) complete the questionnaire together in a single session of approximately 45 minutes. There are no correct or incorrect answers. Honest responses — even where they reveal significant gaps — are the most valuable. Your responses will be used exclusively to generate a support report for your school. They will not be shared with Ofsted, your Local Authority, or any third party without your explicit written consent. Please save a copy of your completed diagnostic for your school's own records. It will serve as a baseline for your AI Readiness Review when this diagnostic is re-administered in the following academic year. QUESTION 1 What is your school's current policy position on the use of generative AI tools — by staff, by pupils, or both — and how was that policy developed? What we are asking you to consider We are asking you to describe: (a) whether your school has a written policy on generative AI (not simply an acceptable use policy for technology generally); (b) whether that policy distinguishes between staff use and pupil use; (c) who was involved in developing it — and critically, whether teaching staff, a union representative, and a designated safeguarding lead contributed to its content; and (d) when it was last reviewed. If no specific generative AI policy exists, please describe how staff and pupils are currently being guided on AI use in the absence of formal policy. Why this matters Many schools have robust general technology policies that predate the emergence of large language model tools such as ChatGPT, Google Gemini, and Microsoft Copilot. A policy written in 2021 that does not specifically address generative AI is not a generative AI policy. The absence of a specific policy does not mean AI is not being used — it means it is being used in an ungoverned environment. Understanding the current policy landscape allows us to identify where governance scaffolding needs to be built urgently. Your response — free text, 150–300 words recommended QUESTION 2 How would you describe the current level of confidence and competence among your teaching and support staff in using AI tools for professional purposes — and what formal training, if any, has been provided? What we are asking you to consider We are asking you to reflect honestly on the distribution of AI capability across your staff — not just the enthusiasts, but the full range. Specifically: (a) What proportion of your teaching staff would you estimate have used a generative AI tool for professional purposes in the last term? (b) Has any formal, structured training been provided — as distinct from informal peer-to-peer sharing or self-directed exploration? (c) Does that training, if it exists, cover prompt construction, data grounding protocols, cross-referencing source material, and an understanding of how hallucinations occur? (d) Are there staff members who have expressed significant anxiety about AI, and how has the school responded to that concern? Why this matters Staff anxiety about AI is one of the most consistently underestimated barriers to effective adoption in the education sector. A computing lead who is enthusiastic and technically capable may not accurately represent the readiness of a colleague who trained as a primary school teacher twenty years ago and has no professional framework for evaluating AI outputs. Both staff members will be expected to use AI tools once they are formally introduced. Training provision that does not address the full range of staff starting points — including the anxious and the sceptical — will generate uneven adoption, inconsistent safeguarding practice, and potential professional risk for individual teachers. Your response — free text, 150–300 words recommended QUESTION 3 What specific safeguarding considerations has your school identified in relation to pupil access to, or interaction with, generative AI tools — and what controls are currently in place? What we are asking you to consider We are asking you to describe: (a) whether your school has conducted a formal risk assessment specifically for generative AI tools used in educational contexts; (b) what age-appropriate guidance has been developed or adopted for pupils at different key stages; (c) how the school manages the risk of pupils using AI tools to generate content that is harmful, false, or plagiarised; (d) what controls exist to prevent pupils from accessing AI tools in ways that could expose them to inappropriate content, or that could result in the disclosure of personal information to an external AI system; and (e) whether your Designated Safeguarding Lead has received specific training or guidance on AI-related safeguarding risks. Why this matters Generative AI tools introduce a category of safeguarding risk that is genuinely novel and for which most school safeguarding frameworks were not designed. The risks are multidirectional: pupils can use AI tools to generate harmful content directed at peers; they can be exposed to AI-generated content that is inappropriate or false; they can be manipulated by AI-powered systems in ways that mimic grooming patterns; and they can inadvertently disclose personal information — their own or that of other pupils — into systems that are not governed by the school's data protection framework. These risks require specific, not generic, safeguarding responses.
This aligns directly with the Department for Education's updated safety and procurement benchmarks for generative AI in educational settings. Your response — free text, 150–300 words recommended QUESTION 4 Has your school identified any specific training gaps relating to AI literacy — for staff, for pupils, or for parents — and what resources or support do you feel you most urgently need to address those gaps? What we are asking you to consider We are asking you to be direct about where your school feels least equipped. Specifically: (a) Are there curriculum areas where AI literacy has been identified as a gap in teacher subject knowledge? (b) Has any assessment been made of pupil AI literacy — their ability to critically evaluate AI outputs, understand AI limitations, and use AI tools responsibly? (c) Has any communication been issued to parents or carers about the school's approach to AI, and have parents raised concerns that the school has struggled to address? (d) What resources — whether funding, training, external expertise, or policy guidance — would most help your school make progress in the next academic year? Why this matters AI literacy is rapidly becoming a core professional competency for teachers and a foundational digital skill for pupils. Schools that do not address AI literacy gaps in the near term will find those gaps widen as AI tools become more embedded in everyday life and in higher education and employment contexts. Understanding where schools feel most under-resourced — whether that is subject-specific knowledge, safeguarding expertise, curriculum time, or simply clear national guidance — is essential for designing support that is targeted and practical rather than generic and aspirational. Your response — free text, 150–300 words recommended QUESTION 5 If your school were to introduce a generative AI educational assistant — a tool designed to support pupil learning through personalised feedback, question-generation, or revision support — what would you need to see in place before you would be confident that its introduction was safe, appropriate, and beneficial? What we are asking you to consider We are asking you to articulate your conditions for responsible AI adoption from your position as a school leader. Specifically: (a) What evidence of efficacy and safety would you require before introducing an AI educational tool — and from whom would you expect that evidence to come? (b) What governance structures — parental consent processes, data processing agreements, staff training protocols — would need to be in place? (c) How would you ensure that the tool supports, rather than undermines, the professional role of the teacher? (d) What would a meaningful evaluation framework look like — how would you know, after one term or one year, whether the tool had been beneficial? And (e) are there specific pupil cohorts — those with SEN, looked-after children, EAL learners — for whom you would apply a higher or different threshold before introducing AI assistance? Why this matters This question serves a dual purpose. It surfaces the genuine leadership thinking of headteachers about responsible AI adoption — thinking that is often more sophisticated and more cautious than technology advocates assume. And it provides You & AI with the intelligence needed to design school-facing AI tools and support materials that genuinely address the conditions school leaders will require before adoption. An AI educational tool that is designed without reference to the conditions experienced school leaders would impose is unlikely to achieve sustainable adoption, regardless of its technical quality. Your response — free text, 150–300 words recommended Closing Statement: A Framework in Continuous DevelopmentThis framework is not a final product. It is a living governance instrument. The pace of AI development — the regular emergence of new models, new capabilities, and new risk profiles — means that any framework which does not contain a built-in review and iteration mechanism will become obsolete within months of its publication. Three commitments are made to every organisation that adopts this framework: - The Audit Matrix will be reviewed and updated on a six-monthly cycle to reflect emerging research on AI adoption in public services, updated ICO guidance on AI and data protection, and Ofsted's evolving position on AI in educational settings.
- The School Readiness Feedback Loop will be administered annually to all participating schools, with year-on-year comparison data provided to enable schools to track their own progress.
- All feedback from adopting organisations — whether that is a call centre operations manager identifying a gap in the matrix or a headteacher proposing an additional diagnostic question — will be reviewed quarterly and, where appropriate, incorporated into the next version of the framework.
The most important measure of this framework's success will not be the number of organisations that download it. It will be the number of frontline workers — call centre agents, classroom teachers, teaching assistants, and school support staff — who, having engaged with the programme it supports, describe their relationship with AI tools not as threatening, not as confusing, and not as imposed upon them, but as genuinely useful to the work they care about and the people they serve. CONTACT For enquiries about implementing this framework within your Local Authority or school setting, or to participate in the You & AI School AI Readiness Programme, please contact: gro.ianuoy@olleh © 2026 You & AI — All rights reserved. This framework may be reproduced for non-commercial public sector use with attribution. Classification: OFFICIAL — SENSITIVE | Version 1.0 | March 2026
|