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.
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.
From Autocomplete to Co-authoring
April 10, 2025
In 2024–2025, AI writing tools shifted from simple autocomplete to document-aware co-authoring spaces that can draft, rewrite and reorganise whole texts on command. That change has made “did they use AI?” the wrong question for assessment. Instead, teachers need routines that capture visible decision-making: prompt logs, revision rationales, source trails and short in-class checkpoints. This guide explains the new risks (over-polish, voice drift, hidden outsourcing) and offers practical ways to redesign writing instruction so students can use AI while still producing assessable evidence of thinking, craft and integrity.
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.
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.
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.
World Book Day AI Evidence Pack
March 6, 2025
World Book Day is a brilliant moment to celebrate reading, but it can also spark anxious questions about AI and “who wrote what”. This lesson sequence reframes AI as a drafting partner pupils can use openly, while still proving genuine understanding and authorship. Pupils generate character interviews, summaries and story starters with AI, then build an “AI evidence pack” showing planning, quote-tracking, prompt logs and redraft decisions. You’ll find quick set-up steps, adaptations for different age phases, low-device options, and ready-to- copy prompts and checklists you can use straight away.
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.
Gemini 2.0 Flash for Classrooms
February 3, 2025
Fast, lower-cost AI models such as Gemini 2.0 Flash can feel like the sensible choice for schools, especially when budgets are tight and staff need answers quickly. But “fast” is not the same as “safe” or “suitable” for every task. This decision guide explains, in plain language, what Flash-class models change for reliability, cost, and day-to-day classroom workflows. You’ll find practical use cases where low latency genuinely helps, a budgeting approach that forecasts from real routines, and a privacy-first checklist designed to avoid sharing pupil data with third parties by default.
Using Claude’s Extended Thinking in Class
January 22, 2025
Claude’s extended thinking can act like a tireless “worked example partner” in your classroom, making complex reasoning visible instead of hiding it behind final answers. This article shows how to use Claude to model clear, step-by-step thinking, then gradually fade support so students do more of the heavy lifting themselves. You will see how to design prompts, build subject-specific routines, and keep productive struggle alive. We will also look at metacognition, academic integrity and practical safeguards, with low-prep ideas you can try next week.
Mock Exam Support with AI
January 15, 2025
Mock exams are the safest time to learn how to use AI as a powerful revision coach. Used well, AI can help you turn messy class notes and long syllabuses into clear topic lists, practice questions and model answers – all tailored to your course. This guide walks you through exactly how to do that without cheating, breaking exam rules or letting the technology think for you. You will learn step-by-step ways to use AI for feedback, error analysis and active recall, plus a simple checklist schools can share with students before mock season.
AI Resolutions for Teachers
December 30, 2024
Term 2 is when good intentions usually collide with reality. This practical AI resolutions checklist helps you turn New Year enthusiasm into six weeks of tiny, time‑boxed habits that actually survive once school gets busy. Each habit takes about ten minutes to set up, has clear boundaries, and comes with “stop if…” rules so you stay in control. Use it to test AI for planning, marking, in‑lesson support and communication without overhauling your whole practice – and finish the half‑term with a clear decision about what to keep, tweak or drop.
New Year Planning with AI
December 27, 2024
The first weeks of a new term are a rare chance to reset: to align curriculum standards, assessment data and resources into a coherent plan. Used well, AI can help you move from scattered documents and half-finished schemes to clear class goals and week‑by‑week teaching sequences. This playbook walks through practical workflows for turning standards, exam specs and last year’s data into AI‑supported plans that still meet departmental expectations. You will learn how to design goals AI can help you track, avoid workload traps, and set up reusable routines for mid‑term reviews. All with a strong focus on inclusion, professional judgement and whole‑school priorities.
Year One Reflections on AI in Classrooms
November 28, 2024
After a full year of AI tools in everyday classroom practice, many schools are asking a simple question: what actually worked? This article draws on mini case studies from teachers across phases and subjects to surface the routines that stuck, the workflows that quietly failed, and the patterns that emerged in real classrooms. Rather than re-explaining tools or policies, it distils front-line experience into a practical set of repeatable strategies, red flags and "if we were starting again" tips to help schools refine their AI plans for 2025.