Clearing Control Room: AI-Assisted UCAS Decisions
August 6, 2025
Clearing moves fast, but students deserve decisions that are calm, evidence-led and properly recorded. This ‘Clearing Control Room’ workflow gives sixth forms a time-boxed pipeline (15–30 minutes per student) that uses AI to generate option comparisons, question lists and call scripts without handing judgement to a tool. It centres minimum-data prompts, bias and safeguarding challenge passes, and a mandatory staff sign-off record for every recommendation. Use it to reduce errors, improve equity, and keep student agency at the centre.
EU AI Act Meets LGR22: What Swedish Schools Must Know
July 15, 2025
Swedish schools are increasingly using AI for planning, feedback, communication and administration, yet the EU AI Act reframes parts of “education AI” as potentially high-risk. This does not mean schools must stop innovating. It means they must show that AI use supports LGR22’s fundamental values: democracy, human rights and ethics. This guide translates the EU AI Act into day-to-day school practice, focusing on transparency, human oversight and data minimisation. You’ll get a vendor checklist, a lightweight documentation pack, and a 30‑day plan for calm compliance.
Results Day Readiness Pack for Heads of Year
July 7, 2025
Results Day can feel like a flood of emotion, questions, and urgent decisions. This people-first readiness pack helps Heads of Year and Sixth Form teams set up a calm triage system for the first 90 minutes, with four clear queues: anxiety, practical next steps, complaints and appeals, and safeguarding. You’ll find copy-and-paste scripts for students and parents/carers, plus comms templates for common scenarios. It also includes a safe, minimal-data approach to using AI for scenario rehearsal and message drafting—without automating decisions or sharing pupil data.
Building AI Foundations for Next Year
June 13, 2025
A strong September start with AI rarely comes from a big launch. It comes from small, agreed foundations: clear rules, shared language, consistent routines, and a tool stack people can actually use. This six-week summer-term “AI foundations sprint” turns end-of-year audit findings into practical infrastructure: a one-page policy addendum, student norms, staff micro-routines, a governed prompt library, and a light-touch curriculum map showing where AI is permitted, taught, and assessed.
End-of-Year Report Writing at Scale
June 10, 2025
Writing end-of-year reports “at scale” is less about faster typing and more about building a reliable pipeline: structured evidence in, consistent language out, and clear human accountability throughout. This article sets out a moderation-first, privacy-minimised approach to batch-generate reports using sentence banks and variable slots, with safeguards for tone, SEND adjustments, and accuracy. You’ll find practical workflow steps, quality gates, and an audit-friendly versioning approach that avoids tool sprawl. It also includes a parent-facing transparency note and FAQ so families understand what AI did (and didn’t) do.
Results Day War Room: AI Scenario Planning
June 6, 2025
Results day is equal parts data, logistics and duty of care. This “war room” playbook shows how to use AI responsibly to turn historic attainment, grade distributions and operational constraints into three scenario plans: best, expected and worst. You’ll build a small, explainable indicator set, prepare staffing and communications runbooks, and set a mandatory human sign-off chain for any risk flag, intervention list or appeal recommendation.
End-of-Year AI Audit: Evidence Pack
May 29, 2025
An end-of-year AI audit helps schools move from scattered pilots to clear, defensible decisions. This guide shows how to produce an “evidence pack” for governors and SLT: a simple register of every AI trial, a keep/stop/scale decision for each, and the minimum evidence needed to justify it. You’ll also leave with a summer-ready action plan, with owners, timelines, procurement steps and policy updates. The aim is to protect staff time, improve pupil outcomes, and tighten safeguarding and data protection without slowing innovation.
AI event ops for Sports Day and trips
May 16, 2025
Sports Day and school trips are high-impact, high-risk events: lots of moving parts, tight timings, and many stakeholders. AI can help by generating first drafts of run sheets, staffing rotas, kit lists, accessibility adjustments and parent communications, saving hours of admin. But it cannot “know” your site, your pupils, or your policies, and it must never be allowed to automate safeguarding decisions. This article shares a copy-and-adapt workflow that keeps data minimal, builds in inclusion, and finishes with a structured human sign-off so nothing important is approved blindly.
LGR22 Idrott och hälsa: an AI documentation pipeline
May 15, 2025
Idrott och hälsa is built on movement, motivation and pupil agency, yet the workload around it is often dominated by text: planning, adaptations, safety paperwork and assessment evidence. This article shows a practical, LGR22-ready pipeline for turning lively, pupil-led lessons into clear, auditable documentation using AI as a drafting assistant. You’ll see three worked workflows (Brännboll, orienteering, and risk assessment), plus quality gates that protect pedagogy, inclusion and accuracy. We finish with minimum-data safeguarding boundaries and copy-and-adapt templates you can use today.
Preparing for the 10-Year Grundskola
April 15, 2025
Sweden’s move towards a 10-year grundskola is a long-runway change, but the organisational decisions it triggers will arrive sooner than many teams expect. This article offers a calm “now-to-2028” readiness checklist for school leaders and teacher teams: what to freeze, what to prototype, and what to document while Skolverket develops the new curriculum. You’ll see how small, safe AI micro-tools can translate draft texts into decisions about stages, timetables, and progression maps—without rewriting schemes of work too early.
Term 2 AI After-Action Review Template
March 27, 2025
Term 2 often leaves schools with a trail of AI experiments: a few wins, a few worries, and lots of half-finished ideas. This 60-minute “AI After-Action Review” (AAR) is a practical retrospective that helps you turn scattered trials into 3–5 agreed Term 3 routines. It is deliberately evidence-light and focused on leading indicators you can capture quickly: time saved, learning quality, equity, integrity, and safeguarding. You’ll leave with clear keep/kill/scale decisions, named owners, and a 30-day check-in.
Teacher Workload Crisis: Can AI Help?
March 13, 2025
Teacher workload is not a motivation problem; it is a systems problem. AI can reduce time spent on certain high-frequency tasks, but it can also create new work through verification, reformatting, and tool sprawl. This article offers a workload-first “task map” showing where AI savings are genuinely plausible and where they are reliably illusory. You’ll also find a ready-to-run 30-day micro-pilot with guardrails for privacy, safeguarding, quality, and policy alignment, ending with a clear keep/kill decision on three core workflows.
Student Perspectives on AI in Class
February 27, 2025
“Student voice on AI” should do more than collect opinions. Done well, it protects trust, surfaces equity issues, and produces practical classroom norms students understand and will follow. This post sets out a 2–3 week “student AI listening cycle” using a safe survey, small focus groups, and quick classroom trials. The goal is a one-page, student-authored AI classroom agreement plus a short set of policy-ready insights on assessment, privacy, trust, and access— without turning decision-making into a popularity contest.
AI Analytics for MIS Early Intervention
February 19, 2025
Many schools already hold rich attainment, behaviour and attendance data in their MIS, but it is often messy, inconsistent and hard to act on quickly. This practical blueprint shows how to integrate AI analytics in a sensible, governed way, turning existing data into a small set of trustworthy early-intervention signals. It focuses on standardisation, transparent indicators, and human sign-off, rather than black-box “risk scores”. You’ll also find clear prompts for data protection, fairness checks and a low-workload rollout plan.
Building AI Workflows That Stick
January 13, 2025
Many schools now have pockets of AI experimentation, but few have sustainable, whole‑school workflows that genuinely save time and improve teaching. This playbook is for school and college leaders who want to move beyond scattered pilots and build 3–5 core AI workflows that staff actually keep using. Focusing on governance, process design and behaviour change, it shows how to choose high‑leverage use cases, co‑design them with staff, integrate them into existing systems, and monitor impact lightly but consistently so AI becomes “the way we do things here”, not another short‑lived initiative.