Remote Learning Technologies

Common Sense Media recently released a comprehensive risk assessment of AI teacher assistants/lesson planning tools. Their findings reveal that while these tools promise increased productivity and creative support, they're also creating "invisible influencers" that could fundamentally undermine educational quality. Unlike GenAI foundation model chatbots, these tools are specifically designed for instructional planning and classroom use and are rapidly being adopted across districts. Key Concerns from their report: • "Invisible Influencers" in Student Learning: AI-generated content directly shapes what students learn through potentially biased perspectives and historical inaccuracies that teachers may miss; evidence also shows these tools suggest different approaches and responses based on student race/gender • “Outsourced Thinking" Problem: Tools make it dangerously easy to push unreviewed AI instructional content straight to classrooms, while novice teachers lack experience to spot subtle errors and biasses • High-Stakes Outputs: IEP and behavior plan generators create official-looking documents that could impact student educational trajectories even though these plans should be human-generated (and in the case of IEP goals are mandated to be human generated) • Undermining High-Quality Instructional Materials: Without proper integration, these tools fragment learning and can undermine coherent, research-backed curricula Recommendations from the report: • Experienced educator oversight required for all AI-generated educational content • Clear district policies and guidelines for AI teacher assistant implementation • Integration with existing high-quality curricula rather than replacement of established materials • Robust teacher training on identifying bias and evaluating AI outputs • Careful oversight of real-time AI feedback tools that interact directly with students We'd also recommend foundational AI literacy for teachers before they begin using GenAI teacher assistants, so that they are aware of the potential limitations. While AI teacher assistants aren't inherently problematic, they require the same careful implementation and oversight we'd expect for any tool that directly impacts student learning. The potential for enhanced productivity is real, but so are the risks to educational equity and quality. This report underscores the urgent need for GenAI EdTech tool makers to provide evidence of how their tools mitigate these issues along with evidence-based policies and professional development to help educators navigate AI tools responsibly. All of which underline how important AI Literacy is for the 2025-2026 school year. Link in the comments to check out the full report. Also check out our 5 Questions to Ask GenAI EdTech Providers resource in the comments if you are planning to implement any of these tools in your school or district. #AIinEducation #ailiteracy #Education #K12 AI for Education

Immersive learning isn’t the future—it’s happening now at the American University of Ras Al Khaimah. Over the past term at AURAK, my students and I embarked on a journey to transform traditional teaching materials into interactive, immersive learning modules using ThingLink. Across five departments—from AI and Chemistry to Biotechnology and Media Production—we’ve built something special: a scalable model for faculty-led, student-powered e-learning innovation. In this article, I reflect on our process, share real student projects, and explore the learning theories that guide this work. I also talk about why empowering faculty to design their own immersive content is more sustainable than outsourcing. I’d love for you to read, share, and join the conversation on how we can rethink education together. A big thank you to all the innovators and leaders from AURAK Cijo Vazhappilly Khouloud Salameh Prof. Irshad Ahmad Dr. Sara Faiz Mohamed Sharul #EdTech #ImmersiveLearning #InstructionalDesign #HigherEducation #ThingLink #FacultyDevelopment #VRinEducation #DigitalPedagogy

A student once asked me, ‘Sir, will AI replace teachers?’ I paused, smiled, and said, "Not teachers—but it will change how we teach forever." As an educator and entrepreneur, I’ve witnessed every shift in the education industry, from chalkboards to digital classrooms. But nothing has intrigued me more than the rise of AI in education. A few months ago, a student in my class struggled with understanding rotational mechanics. Despite multiple attempts, he couldn’t grasp the concept. So, I experimented. I used an AI tool to create personalized simulations of real-life scenarios he could relate to. Within 30 minutes, the light bulb went off—he finally got it. That’s the power of AI. It’s not here to replace teachers; it’s here to empower us. How I See AI Shaping the Future of Education: → Personalized Learning Every student learns differently. AI allows us to create customized learning paths based on strengths, weaknesses, and pace. Imagine a classroom where no one feels left behind. → Better Access to Quality Education AI-powered tools can bring the best teachers and resources to even the most remote corners of the world, bridging the education gap like never before. → Liberating Teachers AI can take over repetitive tasks—grading, administrative work—so teachers can focus on what truly matters: teaching, mentoring, and inspiring. AI is a tool, not a solution. The magic of education lies in the human connection—a teacher understanding a student’s unspoken hesitation or cheering their smallest victories. At Motion Education Pvt Ltd, we’re already exploring how to integrate AI into our teaching methodologies without losing that human touch. Because the future of education isn’t man vs. machine—it’s man with machine. So, to my students: Don’t fear AI. Embrace it. Use it to amplify your learning. And to my fellow educators: Let’s lead this revolution together. The classrooms of tomorrow are in our hands. What do you think? Will AI transform education for the better, or is there more to consider? Let’s discuss. #AI #AIinEducation #EdTech #NVSir

Microsoft Education has just released its 2025 Artificial Intelligence in Education report - a global snapshot of how AI is shaping learning, leadership, and future-ready skills across K–12 and higher education. A few key insights resonate with me, with the final one surely essential: * 𝐀𝐈 𝐢𝐬 𝐢𝐧 𝐜𝐥𝐚𝐬𝐬𝐫𝐨𝐨𝐦𝐬, 𝐛𝐮𝐭 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 𝐢𝐬 𝐥𝐚𝐠𝐠𝐢𝐧𝐠. While 86% of institutions report using generative AI, fewer than half of educators and students feel confident navigating it. AI fluency is quickly becoming as essential as digital literacy once was. * 𝐒𝐭𝐮𝐝𝐞𝐧𝐭𝐬 𝐚𝐫𝐞 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐛𝐢𝐠𝐠𝐞𝐫 𝐰𝐢𝐭𝐡 𝐀𝐈. Tools like Copilot empower learners to brainstorm, reflect, and expand ideas - especially when combined with peer collaboration and thoughtful instructional design. * 𝐀𝐈 𝐚𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐬, 𝐧𝐨𝐭 𝐫𝐞𝐩𝐥𝐚𝐜𝐞𝐬, 𝐭𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠. From reading comprehension to writing, AI is most effective as an assistant that supports deep learning rather than a substitute for it. * 𝐄𝐝𝐮𝐜𝐚𝐭𝐨𝐫𝐬 𝐚𝐫𝐞 𝐞𝐦𝐛𝐫𝐚𝐜𝐢𝐧𝐠 𝐀𝐈 𝐭𝐨 𝐫𝐞𝐜𝐥𝐚𝐢𝐦 𝐭𝐢𝐦𝐞. By reducing lesson prep, supporting differentiated instruction, and streamlining administrative tasks, AI helps teachers focus on what matters most: relationships and pedagogy. * 𝐄𝐪𝐮𝐢𝐭𝐲 𝐦𝐮𝐬𝐭 𝐠𝐮𝐢𝐝𝐞 𝐀𝐈 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧, 𝐧𝐨𝐭 𝐡𝐲𝐩𝐞. Early data suggests AI isn’t widening socioeconomic gaps, but inclusive access, scaffolding, and diverse representation in tool development remain critical. * 𝐀𝐈 𝐬𝐤𝐢𝐥𝐥𝐬 𝐚𝐫𝐞 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐜𝐚𝐫𝐞𝐞𝐫 𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲. With 66% of employers unwilling to hire without AI literacy, students must learn to lead with AI, not just use it. * 𝐓𝐞𝐚𝐜𝐡𝐞𝐫𝐬 𝐰𝐚𝐧𝐭 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 - 𝐚𝐧𝐝 𝐭𝐡𝐞𝐲 𝐦𝐞𝐚𝐧 𝐢𝐭. High-quality, contextual, job-embedded professional development is non-negotiable. This can’t be another “figure it out as you go” initiative. * 𝐒𝐭𝐮𝐝𝐞𝐧𝐭 𝐯𝐨𝐢𝐜𝐞 𝐢𝐬 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥. Young people want to shape how AI is integrated into their learning. Let’s co-design the future with them, not just for them. This report is a timely reminder: AI can be more than a time-saver. Done right, it can spark creativity, enhance equity, and help us reimagine learning cultures grounded in agency, curiosity, and care. (Full report can be found in comments)

One of the premises of AI for education is the opportunity to create a more engaging and customized learning experience. Today we are introducing a new research experiment, Learn Your Way, which uses generative AI to transform static educational content into a learner-driven engaging experience. For textbook material, it generates multiple representations based on the source material - from mind maps and audio lessons to immersive text with interactive quizzes. Our recent efficacy study shows this approach can lead to improved learning outcomes on both short and long term recall tests. The system is grounded in learning science and powered by our pedagogy-infused family of models, LearnLM, which is now integrated directly into Gemini 2.5 Pro. Try the experience via Google Labs: https://lnkd.in/drGfTZpw Read more about the research on our blog: http://goo.gle/3KqM8i0 And in technical paper: https://lnkd.in/dZuUeKpa

I’ve been using n8n to connect my Learning Record Store (LRS) with real-world user interactions. Right now, when an xAPI statement (learner interaction data) comes in, it can trigger a robot to dance when it scans for specific data in the LRS. Next, I’m layering in Slack messages that respond to specific learner interaction data. It’s a simple way to demonstrate a bigger idea. When we collect granular xAPI data from learning in the flow of work, we can actually do something with it. For example, a customer service simulation could be delivered directly in Slack as a link or interactive chat. The rep completes the scenario right where they work. Each response, such as how they phrase answers, how quickly they respond, and whether they resolve the issue, sends detailed xAPI data to your LRS. That data does not stop there. It could connect with performance data from real customer calls. If those calls show that a rep struggles with empathy or tone, the system can automatically generate a custom simulation to practice that specific skill. After completing it, the rep receives personalized feedback or follow-up practice in Slack based on what the system detected. This could be done in so many different ways like with GenAI to create adaptive practice or add an agent with memory that connects chat data, call insights, and internal systems to deliver coaching that feels timely and contextual. This moves learning from a single event to a continuous, adaptive experience that fits naturally into how people already work. #xAPI #learningdesign #learningintheflowofwork #LRS #GenAI #n8n #instructionaldesign #learninganddevelopment #futureoflearning

🤖 AI + Learning Differences: Designing a Future with No Boundaries 🌍 💡 A powerful new white paper from the Stanford Accelerator for Learning explores how Artificial Intelligence (#AI) can transform #education for learners with diverse abilities — turning inclusion into innovation. 🔍 Why it matters: ▪️AI can help redesign learning environments to serve every learner, but only if co-created with those who experience learning differences firsthand. ▪️This document offers a roadmap for a more inclusive, human-centered AI future — one that enhances both learning equity and skills for life and work. 💬 Key Themes & Insights: 🧩 Co-design & Collaboration: Inclusive innovation starts with people — learners, parents, educators, and technologists — designing together. Co-design ensures that AI tools reflect real experiences and reduce barriers, not reinforce them. 🎯 Learning for the edges: “Providing students what they need is not an edge — it’s just learning.” AI can help design flexible, personalized learning that values variability and fosters a sense of belonging and agency for all learners. 📘 Special Education & IEPs: AI-powered tools can simplify and personalize Individualized Education Plans (IEPs) — from real-time feedback to adaptive learning supports — freeing teachers to focus on human connection. 🧠 Early Identification & Mediation: AI can assist in early detection of learning differences and support tailored interventions, provided it is transparent, bias-aware, and always guided by human judgment. 💞 Social & Emotional Well-Being: Beyond academics, AI can nurture emotional intelligence, empathy, and positive relationships — essential for lifelong learning and well-being. 🦾 AI as Assistive Technology: From speech recognition to adaptive tutoring, AI can extend independence and agency for learners, redefining what “support” means. 👩🏫 AI in Teacher Development: Teachers need career-long learning to use AI ethically and effectively. AI can also personalize professional learning and reduce administrative burden. 💼 AI and the Workforce: Preparing all learners for an AI-shaped economy demands inclusive pathways to quality work, ensuring no one is left behind in the digital transition. 🌐 Interdependence & Life Satisfaction: The ultimate goal: AI that fosters autonomy, community, and well-being across a lifetime — learning without boundaries. 🧭 Call to Action Developers, educators, researchers, and policymakers must work together to ensure that AI systems are co-designed, equitable, and responsive to human diversity. #AIinEducation #InclusiveInnovation EfVET European Association of Institutes for Vocational Training (EVBB) European Vocational Training Association - EVTA EUproVET EURASHE eucen WorldSkills International OECD Education and Skills International Labour Organization Cedefop European Training Foundation EU Employment and Skills UNESCO-UNEVOC National Centre for Vocational Education Research (NCVER) CoP CoVEs

AI isn’t replacing instructional designers—it’s expanding what we’re capable of. Over the past few months, I’ve been hosting workshops to help real IDs to bring their AI projects to life. And these aren’t surface-level demos.... We dive into real use cases, engineer effective prompts, and sometimes even write JavaScript to power the experience. I just published a new video that showcases four of the most impressive AI-powered projects to come out of these workshops. In it, you'll see: 1. A Storyline roleplay that simulates group facilitation with six unique AI-powered personas 2. A custom-coded web object that teaches people to read bearing rate graphs (built without writing code) 3. A GPT designed to help teachers reframe their experience for ID interviews 4. A de-escalation scenario with an AI character and a coaching assistant that gives personalized feedback After each demo, the creator joins me to break down their process, lessons learned, and advice for others who want to start building with AI—even if they’re not developers. If you're curious about what AI makes possible in learning design, this video will give you a glimpse into the future—and the people already building it. You can check out the video with the link in the comments. And let me know which project stands out to you. 😄 #LinkedInWithDevlin #InstructionalDesign #Learning #LearningAndDevelopment #eLearning

“We need to break up the content.” “I threw in a drag-and-drop to keep it engaging.” “It’s just something to click.” Sound familiar? Here’s the thing - interactivity shouldn’t be decoration. It should be purposeful. The biggest mistake I see in eLearning? 👉 Adding interactions that don’t do anything for the learner. True interactivity should make them think. It should deepen understanding, simulate a decision, or reinforce recall. 🎯 Here’s how to shift from fluff to function: ✅ Replace “click to reveal” with a mini-scenario ✅ Use branching to explore real consequences of choices ✅ Add drag-and-drop only when it mirrors a real process or sequence ✅ Always ask: “What does this interaction help them learn or practice?” 💡 Remember: interaction isn’t engagement if it’s empty. Let’s design learning that’s active and meaningful. What’s your favorite example of an interactive element that actually improved learning? #InstructionalDesign #LearningExperienceDesign #eLearning #IDOLAcademy #EngagementWithPurpose #LXD

🚨 Breaking: Anthropic just redefined how AI fits into education. Claude AI, their conversational AI, is no longer just a smart assistant — it’s quickly becoming a core part of the modern learning experience. With their latest update, Anthropic has launched powerful new educational integrations that bring AI directly into students’ and educators’ daily workflows. 🎓 What’s new? Anthropic’s Claude now integrates with: ✅ Panopto – so students can instantly access and reference lecture transcripts during AI conversations. Imagine asking Claude, “What did the professor say about protein folding last week?” and getting an exact excerpt from your recorded lecture. ✅ Wiley – giving access to peer-reviewed academic content in real-time. Claude can now pull high-quality, trusted material into the learning process. ✅ Canvas LTI integration – Claude AI is now embedded right inside one of the most widely used learning management systems. Students and teachers can use AI in coursework seamlessly, without context-switching. 📌 This is much more than just convenience. This is about contextual, real-time learning support that helps students work smarter, not harder. Need help understanding a tough concept from your lecture? Claude can walk you through it with reference to actual course material. Writing a paper? It can help synthesize ideas from credible sources, without hallucinating or inventing data. ⁉️ And for educators? It means students are more empowered to take ownership of their learning journey — reducing the burden of repeated questions and increasing meaningful engagement. 💡 Why this matters: We’re witnessing a shift where AI isn’t replacing education—it’s enhancing it. With integrations like this, Claude becomes an extension of the classroom, a personalized tutor that’s always available, and a gateway to verified knowledge. The real value lies in Claude’s ability to maintain context, respect privacy, and offer accurate, conversational support. Anthropic’s constitutional AI approach gives it an edge when applied in high-integrity domains like education. 🔮 The bottom line: AI is no longer a side tool in education—it’s becoming part of the core stack. These integrations show us what a future-ready, AI-powered education system looks like. Flexible. Personalized. And deeply rooted in trusted content. We’re just scratching the surface of what’s possible when #GenAI meets academia. #ClaudeAI #Anthropic #AIinEducation #EdTech #CanvasLMS #Panopto #Wiley #StudentSuccess #GenerativeAI #FutureOfLearning #AcademicInnovation #ConstitutionalAI #AItools #EducationReimagined #LearningWithAI 🚀📘🤖