Hi everyone, Just a quick reminder for those who are looking to dive deeper into our core training: the MJR Learning Academy is always open. While we keep the conversation and community updates happening here on Skool, the Academy serves as our dedicated library for fully self-paced, online learning. Why use the Academy portal? - Structured Paths: Unlike the social feed, the Academy is organised into step-by-step modules. - On-Demand Access: No schedules or live sessions to worry about—log in whenever you have a window of time. - Deep Dives: This is where we host our comprehensive content on AI and the future of education. If you’re looking to focus on a specific skill or want to catch up on our established curriculum, you can find everything here: 🔗 https://mjr-learning-academy.getlearnworlds.com/

Welcome to your news digest on the latest developments in AI and education as of April 2026. This year marks a significant shift from "experimental" AI to system-wide integration and legal standardisation. 🏛️ Policy & Legislation: The New Standard Governments are moving rapidly to move AI from a classroom "novelty" to a regulated core competency. • Mandatory AI Literacy: Boston Public Schools recently became the first major US district to mandate AI fluency as a graduation requirement, starting in September 2026. Similar legislation is being tracked across 25 states (notably California and New Jersey) to embed AI ethics into the K-12 curriculum. • The "Human-in-the-Loop" Mandate: New regulations in Maryland and Oklahoma now strictly prohibit AI from making "high-stakes" decisions—such as final grading or student placement—without documented human oversight. • Data Privacy Cracks Down: California’s AB 1159 has officially banned the use of student data to train commercial AI models, forcing ed-tech companies to pivot to "closed-loop" educational systems. 🎓 Higher Education: The Persistence of Use Despite institutional hesitation, the latest data shows that AI has become an "invisible" part of the university experience. • Routine Adoption: A recent Gallup study (April 2026) found that over 60% of college students use AI weekly for coursework help, even though roughly half of their institutions officially discourage or prohibit its use. • The "Calculator" Debate: At Idaho State University, recent public forums have seen a shift in rhetoric, with student leaders successfully arguing that "banning AI is the 2020s version of banning the calculator," urging universities to focus on "responsible use" over restriction. 🚀 Tech Trends: Beyond the Chatbot We are seeing a move away from generic chatbots (like early ChatGPT) toward Education-Specific AI Platforms. • Hyper-Personalization at Scale: New "Socratic" AI tutors are now capable of real-time dialogue that doesn't just give answers but uses guided inquiry to help students find the logic themselves.

🚀 Level Up Your Research: From Messy Notes to Stunning Steampunk Mind Maps! 🎨 Ever feel like your research notes are just a wall of text that's hard to digest? 🧠 I just put together a quick demo on how to bridge the gap between raw data and creative visualization using two of the most powerful AI tools available right now: NotebookLM and Google Gemini. 🛠 The Workflow: 1. NotebookLM for Structure: Start by uploading your research (PDFs, docs, or web links). With one click in the "Studio" panel, NotebookLM generates a structured, logical mind map that connects all your key concepts automatically. 2. Download & Transfer: Export that mind map as a PNG. It's functional, but let's be honest—it’s a bit "corporate." 3. Gemini for the "Wow" Factor: Take that image into a custom Gemini Gem (specifically one tuned for infographic design). 4. Get Creative: Use a prompt like "Turn this into an old explorer’s journal with a steampunk vibe." Gemini preserves every single data point—from "Ethical Fluency" to "Strategic Leadership"—but transforms them into a visual masterpiece with gears, parchment textures, and beautiful typography. 💡 Why this matters for Education & AI: We often talk about AI literacy, but visual storytelling is a core competency for the future. Being able to take complex information and turn it into an engaging infographic in seconds is a superpower for educators, students, and creators alike. Check out the video below to see the transformation in action! 👇

Hey everyone! 🚀 I wanted to share a workflow I’ve been perfecting that allows one person to produce professional-grade manuals and documents. I used it for my new game, Sands of the Ludus, but this is 100% applicable if you’re looking to level up your class notes, student handouts, or exercise docs. The Secret? A 4-Phase Pipeline: - Phase 1: The Brainstorm. I used Gemini to get the "big ideas" out. It’s the perfect partner for when you’re stuck on how to structure a lesson or a game mechanic. - Phase 2: The Logic Lock. This is the most important part. I moved everything into NotebookLM. By uploading my specific notes, the AI only speaks from my "source of truth." No more generic AI fluff—just my rules, refined. - Phase 3: Visuals. I used the data to guide the creation of infographics. If you need to explain a complex math formula or a historical timeline, this step ensures your visuals match your text perfectly. - Phase 4: The Export. Going from a mess of notes to a polished PDF that’s ready for print or digital download. Why this matters for your community/students: You can use this to turn a 20-minute video transcript into a structured study guide, a set of practice exercises, and a visual cheat sheet in a fraction of the time it used to take. I’m curious—would a deep dive into the NotebookLM setup be helpful for your own content creation? Drop a comment below! 👇 Tips for formatting your docs: - For Physical Handouts: Use the "Final Assembly" phase to focus on high-contrast layouts and clear headings for easy printing. - For Electronic Docs: Use the "Data Framework" in NotebookLM to generate interactive Q&A's for your students based on the notes you've already created.