Tackling the marking mountain with AI
May 6, 2025
End-of-year marking often fails not because teachers lack expertise, but because consistency is hard to maintain at speed. A moderation-first AI workflow flips the usual approach: you standardise how the rubric is interpreted before any feedback is generated, then use AI for first-pass comment batches and consistency checks across classes. Grades remain human-set, and pupil data is minimised through anonymised evidence packs and local templates. This article offers a practical, low-risk process you can roll out in a week.
Exam-Season AI Traffic Lights for Schools
May 2, 2025
Exam season is when AI rules most often unravel: different teachers say different things, students guess what’s allowed, and well-meaning support can tip into malpractice. This one-page “AI traffic-light” boundary system gives a shared language for revision, homework, coursework/NEA, controlled assessment and exams. You’ll get clear permitted/restricted/prohibited uses, quick ways to introduce the system in five minutes, ready-to-say scripts for staff, students and families, and integrity checks that work even when you can’t reliably “detect AI”.
May exam countdown: a 28-day AI revision sprint
April 29, 2025
The final 3–4 weeks before GCSE and A-Level exams are not the time for new notes, endless videos, or ‘more content’. They’re the time for precision: retrieval, error correction, and timed rehearsal. This 28-day, integrity-safe exam sprint uses AI as a revision operations system rather than a content generator. You’ll set up daily retrieval mini-sets, run a live misconception-to-fix loop through error logs, and rehearse timed papers with AI coaching only before and after. You’ll also get a light-touch teacher monitoring plan plus ready-to-use templates for students, parents, and departments.
Phase-banded AI ethics dilemmas toolkit
April 24, 2025
AI ethics can feel abstract, yet pupils meet its effects daily: recommendations, image filters, chatbots, and “too-good-to-be-true” videos. This phase-banded toolkit offers short, story-led dilemmas for Primary, KS3 and KS4, designed for tutor time, PSHE and computing without needing technical detail or real pupil data. Each scenario uses a consistent, safe discussion protocol that helps learners reason about fairness, privacy, consent, deepfakes and ownership.
KS2 SATs: AI boundaries and revision toolkit
April 17, 2025
AI can genuinely improve Year 6 SATs preparation, but only when the boundaries are crystal clear. This guide sets out what “appropriate AI support” looks like for KS2, alongside non-negotiable integrity rules for pupils at home and teachers in school. You’ll find practical ways to use AI to generate maths retrieval practice, diagnose misconceptions, and scaffold SPaG and reading comprehension without giving answers. It also includes minimum-data safeguarding routines, low-device alternatives, and ready-to-copy prompts, plus a one-page family agreement you can adapt.
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.
Outdoor Learning Meets AI
April 7, 2025
Spring fieldwork is at its best when pupils slow down, look closely, and record what they actually notice. Yet the pull of instant answers on a device can flatten observation into a quick photo and a guessed label. This article offers a “pocket-to-paper” routine: devices away during noticing, then AI used afterwards for cautious species suggestions, structured data logging, and accessible outputs such as audio, simplified text, and translation. It’s built around a simple safety protocol and an “AI confidence” checklist so pupils learn to verify rather than trust.
GPT-5 release day school briefing
April 3, 2025
GPT-5 will arrive with headlines, hot takes and rapid product changes, but schools need a calm, repeatable way to judge what actually matters. This release-day protocol gives you a one-page briefing and a 60–90 minute comparative “bake-off” against your current model and workflows. You’ll test planning, feedback, accessibility, safeguarding and assessment using a minimum-safe environment, then make an adopt/pilot/park decision with clear evidence thresholds. It ends with the smallest policy tweaks leaders should make in week one, plus ready-to-send staff and parent messages that avoid hype.
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.
AI Across the Curriculum: 8 Lesson Moves
March 18, 2025
“AI across the curriculum” works best when it is a small set of repeatable lesson moves, not a wholesale rewrite of schemes of work. This article offers eight AI-supported teaching moves you can drop into any subject, with quick prompts, teacher checks, and subject-specific examples. You’ll also find a copy-and-use one-page planning template, plus a single checklist covering safeguarding, privacy, accessibility and assessment integrity. The goal is simple: better learning habits, clearer evidence, and consistent boundaries—without tool sprawl.
End-of-Term Grading: A Batch Marking Pipeline
March 17, 2025
End-of-term grading can feel like a sprint you didn’t train for. Used well, AI can reduce the admin burden without becoming a grade-decider. This article offers a practical ‘batch marking pipeline’ that keeps teachers firmly in control: how to structure anonymised evidence packs, generate rubric-aligned comment banks, run consistency and bias checks, and produce student-facing next steps. The focus is on minimum-data prompting, clear boundaries, and repeatable routines that support reliable, fair grading while respecting data protection.
AI and LGR22 Assessment: Fair, Aligned Tests
March 14, 2025
LGR22 assessment asks teachers to make holistic judgements from evidence gathered over time, yet pre-test season can push us towards “one big test” decisions. This article offers a practical, teacher-in-the-loop workflow for turning pasted betygskriterier into fair, curriculum-aligned assessments using AI. You’ll see how to build E/C/A-targeted questions, generate three-tier model answers, and add justification checklists that keep grading anchored in the criteria. We also share a light portfolio plan so no single test carries the whole grade.
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.
Exam-board-aware AI revision for GCSE & A-Level
March 10, 2025
Exam success is rarely about doing “more revision”; it’s about doing the right revision for the paper you will actually sit. This article sets out an exam-board-aware AI workflow for GCSE and A-Level that turns specifications, command words, mark schemes and examiner reports into a misconception-led plan. You’ll see how to build retrieval practice that matches marking criteria, then organise it into spaced repetition that prioritises weak areas and high-yield errors. It also includes clear integrity rules for students and staff, plus a simple teacher set-up and monitoring routine.
Four-Channel Multimodal AI Playbook
February 24, 2025
Multimodal AI can feel messy in a classroom: pupils jump between text, images, audio and video, and teachers worry about privacy, plagiarism, and losing track of who did what. This playbook offers a repeatable “four-channel” routine that deliberately moves learning through text, image, audio and video—then back to text—so you gain accessibility and differentiation without sacrificing assessment integrity. You’ll find quick set-up guidance, prompt frames that travel across subjects, six ready-to-run lesson moves, and practical safeguards that keep control with the teacher.