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.
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.
LGR22 Digital Competence: An AI Evidence Pack
January 14, 2025
LGR22 expects pupils to use digital tools thoughtfully, understand how digital systems shape information, and act responsibly online. AI sits naturally within those expectations, but it does not need its own unit. This article offers a cross-subject “evidence pack” approach: small, teachable micro-artefacts that generate assessable proof of digital competence while you teach your normal content. You’ll get ready-to-run tasks for spreadsheets, programming, source criticism, fake-news analysis, and writing with digital tools—each mapped to centralt innehåll and designed to progress from mellanstadiet to Åk 8.
AI Policy Watch: Government Updates
January 6, 2025
January 2025 marks a shift from AI experimentation to clearer expectations for schools and colleges. With new DfE guidance, the EU AI Act moving into force, and growing scrutiny from regulators and inspectors, leaders now need a concise, term-start action plan. This briefing translates the latest policy signals into practical steps for January–July 2025: where to tweak existing policies, how to adapt procurement and data protection, what staff training really needs to cover, and how to evidence “responsible AI” without rewriting everything from scratch.
Two Years of ChatGPT in Schools
November 15, 2024
Two years after ChatGPT’s launch, schools worldwide have moved from panic and plagiarism fears to more mature, policy-aligned use. This article offers a longitudinal “report card” on ChatGPT in education, comparing 2022–23 with 2023–24 across policy, classroom practice and student outcomes. Through concrete case vignettes and a simple self-audit maturity model, school leaders and teachers can benchmark where they sit on the adoption curve, spot gaps, and plan the next two years of AI integration with confidence and care.
Digital Citizenship and AI
October 24, 2024
As AI tools move into everyday schoolwork, they must become part of digital citizenship, not an optional extra. This article gives teachers age-banded, ready-to-teach mini-units that weave online safety, ethics and academic integrity into practical AI activities. With examples from primary through to upper secondary, and options for low- or no-device classrooms, you can help pupils actually practise responsible AI use rather than simply memorising rules. Includes ideas for classroom routines, pupil agreements and ways to link lessons with school policy and home.
OpenAI Canvas Drafting Guide
October 11, 2024
OpenAI Canvas is a new collaborative writing space where teachers, students and AI can draft together in real time. This guide walks you through a practical approach to introducing Canvas in your classroom. You will find clear classroom workflows, from brainstorming and outlining to peer critique and redrafting, along with firm guardrails on academic integrity, privacy and behaviour. The focus is on helping students write more thoughtfully, not outsourcing their thinking to AI.
Redefining Originality: Assessment in 2024
September 25, 2024
As generative AI becomes a normal part of students’ lives, traditional ideas of “original work” are under pressure. Instead of trying to catch AI-assisted cheating, teachers can redesign assessments so that authentic process, personal voice and contextualised evidence matter more than the final product. This article offers a practical playbook for reworking existing tasks into “originality by design” assessments, with concrete examples, rubrics and classroom routines. You will find strategies that make AI a transparent, bounded part of learning, rather than something to fear or detect.
AI Detection Accuracy: The Evidence
September 19, 2024
AI writing detectors promise to spot ChatGPT-style text, but independent research paints a far more complicated picture. This article synthesises what studies actually show about Turnitin, GPTZero and similar tools: their accuracy, false positives and worrying biases, especially for multilingual and high‑performing students. It then translates that evidence into concrete guidance for schools on when not to use detectors, how to respond to AI flags, and what to do instead. The goal is a fair, defensible approach to assessment that protects academic integrity without harming the very learners we aim to support.
SearchGPT vs Google for student research
August 5, 2024
OpenAI’s new SearchGPT promises faster, more focused answers than traditional web search – but what does that mean for school research? This practical guide walks students through a full research workflow, from first background scan to final bibliography, showing when to use SearchGPT and when Google (or other search engines) still works best. With concrete example queries, ethical guardrails, and citation workflows, it is designed as a student‑friendly playbook that teachers can share or adapt. The focus is on safe, critical and policy‑aligned use of AI.
When AI Helps vs When It Harms Learning
August 2, 2024
As AI tools become part of everyday school life, the real challenge is no longer “AI: yes or no?” but “AI: when and how?”. This article offers a developmental, research-based framework to help schools decide when AI should act as a scaffold and when it risks becoming a shortcut. With concrete, age-banded classroom rules from early primary to post-16, it focuses on protecting productive struggle, metacognition and deep work, while still harnessing AI’s potential to personalise, explain and extend learning.
Designing AI‑Resilient Assessments
July 8, 2024
Generative AI has changed how students complete written work, but it does not have to undermine meaningful assessment. This article offers a step‑by‑step playbook for designing ‘AI‑resilient’ portfolio, oral and practical assessments that focus on learning rather than policing. You will find ready‑to‑copy task briefs, sample rubrics and clear AI usage rules that can be dropped straight into existing units without rewriting your whole curriculum. The aim is not to ban AI, but to design assessments where authentic understanding, process and performance still matter most.
Creating Your School's AI Acceptable Use Policy
June 16, 2024
AI tools are arriving in classrooms faster than most policies can keep up. This practical guide walks school leaders step by step through building a clear, workable AI Acceptable Use Policy (AUP) that you can copy, paste and adapt. It translates high‑level principles – safeguarding, data protection, academic integrity and staff conduct – into concrete clauses, role descriptions and consent wording for staff and students. You will also find advice on keeping your policy “live” as AI tools and laws evolve, plus a simple checklist to take you from first draft to governing body approval.
The Dark Side of AI
May 13, 2024
AI technology, while offering tremendous benefits, also poses significant ethical and moral challenges when misused. This blog post delves into the darker aspects of AI, highlighting issues such as deepfakes, invasive surveillance, automated hacking, financial crimes, biassed decision-making, manipulative marketing, and the weaponisation of AI. These examples underscore the importance of developing robust policies and ethical guidelines to prevent the misuse of AI. By raising public awareness and fostering collaboration among governments, organisations, and individuals, we can ensure AI is used responsibly for the betterment of society.
5 Ways Students Use AI Unethically
May 3, 2024
As artificial intelligence (AI) becomes more prevalent in education, it brings both opportunities and challenges. This post examines five ways students might misuse AI, from generating essays to cheating on exams. It also provides practical strategies for teachers to uphold academic integrity and prevent AI-related cheating. By fostering a culture of ethical AI use, educators can ensure that AI enhances learning rather than undermines it, helping students to develop genuine skills and knowledge.