Holiday Reading: Best AI in Education Books
December 20, 2024
The holidays can be the perfect moment to explore AI in education without the pressure of term‑time. This curated reading list is designed as a self‑directed CPD programme, not just a pile of worthy titles. Each book is mapped to specific school roles – from classroom teacher to senior leader, SENDCo and IT lead – with clear “try this in January” actions you can use straight away. Dip into one pathway or mix and match to build your own AI CPD plan that feels realistic, practical and grounded in everyday school life.
Festive AI Activities Playbook
December 5, 2024
December can easily become a blur of tired lessons, last-minute cover and sugar-fuelled chaos. This festive AI playbook offers low-prep, holiday-themed projects that blend on-screen creativity with off-screen making, service and reflection. Organised by age band, it gives concrete ideas that build AI literacy and community spirit without adding piles of marking or endless screen time. With planning guardrails, equity-minded variants and quick-start checklists, it is designed to slot straight into your December timetable or act as an engaging homework alternative.
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.
LGR22 and Slöjd: AI micro-tools that protect making
November 14, 2024
Slöjd is one of the best “stress tests” for classroom AI because the learning lives in hands-on decisions, safe tool use, and reflective thinking—not in perfect text. This article offers four practical, teacher-in-the-loop AI micro-tools aligned with LGR22: a making-lesson planner using E/C/A process goals, a bilingual pattern and notation converter (SV↔EN), pupil-friendly documentation prompts that evidence learning, and a safety-first risk assessment workflow for textile, wood and metal. It also sets clear red lines for what AI must never do in Slöjd.
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.
Teaching Hemkunskap Under LGR22: AI Workflow
October 14, 2024
Hem- och konsumentkunskap (HKK) under LGR22 asks pupils to plan, cook, evaluate, and reason about choices—often under tight time, budget, and safety constraints. This article offers a classroom-ready, inspection-friendly AI workflow that treats AI as a documentation and reasoning tool rather than a “teacher replacement”. You’ll get a four-tool pipeline for recipe design, Swedish unit conversion, E/C/A-aligned lesson outcomes, and a written riskbedömning, with one complete Swedish cuisine example plus a US-to-Sweden cookie conversion case.
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.
AI for EAL/ESL: Beyond Translation
October 1, 2024
Many multilingual learners sit in mainstream classrooms understanding far less than they could, even with translation tools open on their phones. This article shows subject teachers how to use AI as a live scaffold during regular lessons, going beyond simple translation to support vocabulary, reading and listening comprehension. You will find practical prompts, classroom routines and low-prep workflows you can adapt across subjects and age groups, plus guidance on safeguarding and equity. The focus is always clear: AI supports the learner, it does not replace teaching.
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.
LGR22 in Practice: AI for New Teachers
September 16, 2024
Starting a new term with LGR22 can feel like learning a new professional language, especially for newly qualified and international teachers. This guide offers a practical “translation layer”: how to use AI to turn the syllabus components (syfte, centralt innehåll by stage, and betygskriterier E/C/A) into a coherent planning-and-assessment workflow. You’ll see worked examples, built-in checks to avoid treating centralt innehåll as cumulative, and a Year 6 rubric model that helps you calibrate grading with confidence and consistency.
OpenAI o1: reasoning models for teachers
September 13, 2024
OpenAI’s new o1 (Strawberry) model is the first “reasoning‑first” AI many teachers will encounter. It does not just answer quickly; it works through problems step by step, using deliberate chains of thought and tools along the way. This article explains what that actually looks like in practice, how it differs from GPT‑4o, and what it means for everyday classroom and assessment workflows. You will find concrete examples for modelling reasoning, generating worked solutions and supporting marking, alongside clear guidance on exams, academic integrity and practical rollout in schools.
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.