AI is no longer a technology schools need to prepare for in the distant future—it is already active in our classrooms. Research shows that 87% of young people aged 11 to 24 (and 90% of 13- to 14-year-olds) have already used AI tools. Furthermore, 47% of young people trust AI to check whether something is true, compared to just 21% who trust another person. This community exists to transform how education responds to this shift. Rather than relying on AI detection software or debating whether pupils should access AI, we address a far more essential question: How do we prepare teachers and pupils to use AI intelligently, safely, and critically? We place teacher development at the very center of our mission, providing educators with the practical literacy, critical thinking tools, and professional judgment needed to lead in the AI era. Community Overview: What You’ll Gain - Practical Teacher AI Literacy: Moving far beyond basic prompt writing to understand how generative AI works, where it fails, how to manage privacy and data protection, and how to harness AI for lesson development and workload reduction. Crucially, members learn to identify when not to use AI. - Pupil Critical Thinking & Information Literacy: Shifting pupil instruction from basic tool usage to questioning outputs—evaluating evidence, identifying hallucinations and bias, and checking alternative sources. - Modernised Assessment Strategies: Moving away from traditional homework vulnerabilities and AI detection tools toward methods that measure true understanding, including oral questioning, work development tracking, and defending conclusions. - Strategic AI Leadership: Empowering educators and leaders to build actionable AI strategies that build confidence across whole school communities. - Who This Community Is For - Classroom Teachers & Educators seeking practical, workload-reducing AI tools and pedagogical strategies. - School Leaders & Administrators creating school-wide AI strategies centered on staff capability. - Curriculum & Assessment Leads modernising evaluation methods for an AI-accessible world

The Practical Guide to ChatGPT Work for Teachers I’m developing a course for secondary teachers who already use basic prompts and want to take the next step. You’ll learn to: • Create lesson resources and curriculum plans. • Use Plugins, Skills, Sites and Library. • Set up repeat tasks. • Check outputs and protect pupil data. Six short modules, around three hours in total, with video guides, practical tasks, downloadable prompts and a CPD completion certificate. 💬 Comment “Interested” for updates as the course takes shape.

I’ve put together this infographic to explain ChatGPT’s main features, including GPTs, Plugins, Skills, Projects and Sites. Each feature includes a teaching example to help you choose where to start. Use it when planning lessons, creating resources or setting up repeat tasks. Keep pupil data private and check every output before classroom use. 💬 Share one feature you use and the teaching task it helps with. Source: OpenAI’s ChatGPT guidance

As of May 2026, AI in education has shifted from an experimental "novelty" phase into a regulated, core component of global school systems. The focus has moved from merely using chatbots to establishing long-term governance, AI literacy, and skills-based credentials. 🎓 1. The Move to "Governance & Trust" In 2026, the primary conversation is no longer if AI should be used, but how it is governed. • Interoperability Standards: Institutions are now demanding that edtech tools follow strict interoperability rules (like those from 1EdTech). This ensures that AI tools from different providers can "talk" to one another, making student data portable and preventing schools from being locked into a single ecosystem. • Privacy Guardrails: New rubrics, such as the TrustEd Generative AI Data Privacy Rubric, are being implemented to help schools decide which student data is safe to share with AI models and what must remain strictly private. 📜 2. Policy & Legislation Trends Legislators are moving quickly to keep up with classroom realities: • The "Human-in-the-Loop" Mandate: Several US states (including Oklahoma and Maryland) now require human oversight for high-stakes decisions. AI is legally prohibited from being the sole basis for grading, disciplinary actions, or student placement. • AI Literacy as a Graduation Requirement: Literacy is becoming a core competency. States like New Jersey and California are incorporating AI ethics and prompt engineering into the K-12 curriculum. Notably, the 2029 PISA exam (the global benchmark for 15-year-olds) is set to officially assess AI literacy for the first time. 🛠️ 3. Emerging Tools & Student Use The "Big Three" (ChatGPT, Claude, and Gemini) remain dominant, but specialized tools are gaining ground: • Personalized Tutoring: Platforms like NotebookLM and Kyron are being used to create personalized learning "sandboxes" where students can interact with their specific course materials rather than the general internet. • The Feedback Gap: A 2026 HEPI report found that while 95% of students use AI for their studies, only 38% feel their institutions provide them with the proper tools or training. This "shadow AI" use is a major focus for universities trying to bridge the gap.