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.
AI Tools Refresh for 2025
January 7, 2025
2023–24 was the year many schools experimented wildly with AI tools. 2025 needs to be different: less novelty, more consolidation and safety. This pragmatic guide helps you map the fast‑moving AI landscape onto real school workflows, decide what to keep, what to switch, and what to quietly drop, and build a smaller, more sustainable AI stack that staff and students can actually master.
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.
Black Friday EdTech Deals 2024
November 25, 2024
Black Friday and Cyber Monday can feel overwhelming for schools, with AI and EdTech discounts shouting for attention. This guide helps you cut through the noise and focus on a small set of AI subscriptions and tools that are genuinely worth paying for in 2024. We look at data protection, long-term value, and how well tools fit into existing school workflows, rather than chasing novelty features or risky “lifetime” offers. Use it as a pragmatic buyer’s guide to decide what to upgrade, what to trial, and what to ignore this year.
Revision Techniques Powered by AI
November 19, 2024
AI can supercharge revision – but only when it rests on solid cognitive science rather than endless practice questions. This article shows how to “bolt” AI onto proven techniques like spaced repetition, retrieval practice, interleaving and exam-style questions, without diluting desirable difficulty. You will find parallel workflows for teachers and students, with concrete subject examples and ready-to-use routines. We also explore how to avoid over-reliance, cheating and cognitive offloading, so learners stay in charge of their thinking. A practical, research-informed playbook for exam preparation in any subject or school system.
What Research Says About AI Tutoring
November 8, 2024
AI tutoring tools are being heavily promoted to schools, often with bold promises of “personalised learning” and rapid progress. This briefing cuts through the marketing to summarise what robust research actually shows about AI tutoring: typical learning gains, which subjects and age groups benefit most, and where equity concerns are emerging. Drawing on case studies of Khan Academy’s Khanmigo, Duolingo’s AI features and large-scale efficacy trials, it outlines the implementation conditions that matter in real schools and offers a practical decision guide for leaders considering when, where and how to deploy AI tutoring.
AI in Science Labs: A Practical Playbook
October 15, 2024
AI is already reshaping how we plan, run and review practical science – but many teachers are unsure how to use it safely and effectively with real students, real data and real risks. This lab‑first playbook walks science teachers step‑by‑step through embedding AI into existing practicals, from planning and piloting experiments to analysing student data and enforcing non‑negotiable safety rules. With ready‑to‑copy routines that work in low‑device, mixed‑ability secondary and FE labs, it focuses on scaffolding thinking rather than doing the work for students, and keeps academic integrity and data protection front and centre.
Google NotebookLM for Students
October 3, 2024
Google NotebookLM is an AI-powered notebook that lets you turn scattered notes, PDFs and lecture slides into structured study companions. This practical guide walks secondary and university students through concrete workflows for readings, revision and exam prep, while drawing clear lines on what counts as cheating. You will learn how to organise sources, generate practice questions, and use AI explanations safely. We also cover privacy, consent, and how to align your use of NotebookLM with school or university AI policies.
Teaching Source Evaluation in the AI Era
September 17, 2024
Source evaluation has never been more important – or more complicated. With AI tools generating plausible text, images and data in seconds, students now work in a world where “the source” might be a chatbot, a website, a PDF, a video or a social media post. This playbook offers practical routines, checklists and mini-lessons to help students evaluate AI-generated information alongside traditional sources, treating AI tools as sources to be questioned, compared and cited, not oracles to be believed.
Differentiation Without the Workload
September 10, 2024
Differentiation in mixed-ability classrooms often feels impossible within a normal planning load. This step‑by‑step, ‘minimum effort’ playbook shows how to use a small set of AI workflows to turn the resources you already have into tiered tasks, scaffolded materials and flexible assessments in minutes. With practical examples, simple prompts and clear safeguards, you will see how tools like Automated Education’s differentiation features can support all learners without turning you into a full‑time content creator.
Future-Proofing Students: Skills AI Can't Replace
August 19, 2024
As AI tools become part of the everyday school timetable, the real challenge is no longer whether pupils can use them, but whether they can stay meaningfully human alongside them. This playbook offers practical, lesson-level routines that deliberately pair AI workflows with “human-only” thinking, so critical thinking, creativity and empathy are strengthened rather than sidelined. With examples for primary and secondary classrooms, guidance on curriculum and assessment, and a six-week starter plan, it helps schools future‑proof students’ uniquely human strengths instead of simply bolting character education onto technology use.
Human + AI: The Co‑Pilot Model in Teaching
July 25, 2024
AI is often seen as a planning tool or a distant threat, but its real power emerges when it works alongside teachers in the live flow of the school day. This article walks through a full day in three phases – before, during and after lessons – showing which tasks stay firmly human, which can be safely delegated to AI, and how to design simple, repeatable co‑pilot routines. You will find practical examples for different subjects, safeguards for professional judgement and data, and ideas for working with colleagues to embed a sustainable Human + AI approach.
Summer Learning Loss and AI Tutors
July 17, 2024
Summer learning loss remains stubbornly persistent, particularly in maths and reading, and many schools simply cannot run full-scale holiday programmes. This research-grounded guide explores how AI-powered tutoring can offer targeted, low-prep support over the break, even with limited staff time. Drawing on evidence from high-impact tutoring, it outlines practical models such as take-home AI tutors, short online clinics, and family-supported use. You will find concrete subject examples, clear guardrails for equitable and balanced use, and advice on working with families. The aim is to help you design a realistic, sustainable summer strategy that genuinely lightens your load.