AI in Education: Test Your Knowledge

AI in the classroom is the topic on everyone’s mind. How can we use it to enhance student experience? How can we keep our students safe while online? Join Imagine Learning for a discussion about how AI is being used now and how it will impact instruction as we go forward.

We see many school systems treating AI as a tool decision. It's actually an instructional one — and that distinction matters enormously. I'm excited to join Rebecca Winthrop of the The Brookings Institution and Amanda Bickerstaff of AI for Education for a conversation about the future of AI in schools I think every education leader needs to hear right now. Rebecca will share findings from Brookings' landmark work on helping students prosper, prepare, and stay protected in an AI world. Amanda and I will dig into what we learned building Beyond the AI Inflection Point — and what Imagine Learning's work with districts across the country has made clear: the decisions leaders are making today about AI are already shaping classroom instruction, whether they realize it or not. The question isn't which AI tools to adopt. It's how instruction should change in an age where AI is all around us — and how policy, curriculum, and technology must align to avoid a fragmented, inequitable response. 📅 Wednesday, April 8 | 1pm ET | Free webinar Link to register in the comments. https://lnkd.in/eYvgZvaH #FutureReady #AIinEducation #CurriculumInformedAI #K12Leadership

Stanford just reviewed 800+ research papers on AI in K-12 education Only 20 had strong enough evidence to be meaningful. 20 ! That gap tells you everything about where we are. But here's what stopped me in the findings: Almost all 800 papers studied AI's impact on learning. Almost none studied AI's impact on running a school. And that's the conversation nobody in EdTech is having. The research that does exist shows something important: AI improves student performance when students have access to it. Remove the AI, and the gains largely disappear. Well, let me surprise you that this is not a learning infrastructure, but rather a crutch with a subscription fee. The tools that show real promise share one thing: Pedagogical intent. Guided intelligence. AI designed around how learning actually works. That fight is worth having. BUT there's another fight happening quietly in every school: The admission director answering parent emails at 10pm. The principal buried in reports instead of walking classrooms. The teacher spending Sunday planning what AI could have prepared in minutes. AI won't transform education by making students slightly better at math. It will transform education by giving teachers back the thing no research paper can measure: Time. Presence. Energy. The freedom to actually teach. Schools don't need AI in the classroom alone. They need AI running the enterprise (so the humans can do what only humans can do) SCALE Initiative at Stanford University is starting to map the evidence. We're building the infrastructure for both, Blended OS, the new schooling interface. hashtag #AIinEducation #EdTech #SchoolLeadership #SchoolOperations *Link to paper in the comments

Only 20% of teachers solve this puzzle correctly. Teacher challenge: Can you unravel the future of education? This AI education puzzle will test your understanding of emerging trends. Drop your answer in the comments below! **QUESTION** What is the primary benefit of Artificial Intelligence (AI) in fostering personalized learning environments for students? **OPTIONS** A. Automating all classroom instruction entirely, removing the need for human teachers. B. Providing real-time, adaptive learning paths tailored to individual student needs and progress. C. Replacing traditional textbooks with interactive digital AI-powered content for all subjects. D. Primarily managing administrative tasks like grading and attendance, freeing up teachers for other duties. What's your answer, amazing educators? Share your thoughts in the comments and tag a colleague who loves a good challenge! #AIinEducation #TeacherChallenge #EdTech #FutureofLearning #PuzzleTime #TeacherPack #ProblemSolving

🚀 New Book Launch: Artificial Intelligence (AI) for Schools — Grades 6–8 I’m pleased to share that my new book is now live on Amazon. This book is designed to introduce students to artificial intelligence in a simple, practical, and engaging way—covering core concepts like AI, machine learning, data, and digital skills through real-world examples and activities. It is aligned with CBSE skill education frameworks and NEP 2020, supporting competency-based learning and helping students build critical thinking and problem-solving abilities. Built with a classroom-first approach, the book includes: • Concept clarity with real-life applications • Activity-based learning • Case-based and competency-based questions • Teacher-friendly structure for easy implementation This is part of a broader effort to make AI education accessible, responsible, and meaningful for the next generation. 📘 Now available on Amazon (Kindle) I would appreciate your feedback and support. https://amzn.to/3PDmnxE #ArtificialIntelligence #CBSE #Education #EdTech #NEP2020 #DigitalLearning

Teachers vs AI: The Real Classroom Shift No One Prepared Us For ☕ Somewhere right now: A student submits a flawless essay. Advanced vocabulary. Perfect structure. Impressive references. Teacher: “Excellent work.” Student: “Thank you, miss… WiFi helped.” Welcome to the new classroom reality. It’s no longer: Teacher vs syllabus. Teacher vs time. It’s now: Teacher vs AI-generated brilliance. But here’s the truth— AI is not the problem. Unstructured pedagogy is. ☕ What AI Can (and Can’t) Do AI can generate answers, essays, and explanations. But it cannot: • Read a classroom’s emotional climate • Build trust • Spot confusion behind confidence • Manage diverse learning needs AI produces answers. Teachers build thinking. ☕ What Smart Educators Are Doing Differently Instead of fighting AI, they’re redesigning learning: 1. Design AI-resistant tasks Require personal context, reflection, and critique. 2. Shift from product to process Assess drafts, thinking, and explanations—not just final submissions. 3. Use AI as a co-teacher Let students critique and improve AI responses. 4. Demand visible thinking Step-by-step reasoning, concept maps, verbal explanations. 5. Prioritize human skills Critical thinking, creativity, collaboration, emotional intelligence. 6. Bring learning back into the room Debates, presentations, real-time problem-solving. 7. Teach AI literacy Not “don’t use it”—but how and when to use it wisely. ☕ The Real Insight This isn’t Teachers vs AI. It’s Surface Learning vs Deep Learning. If learning is shallow, AI replaces effort. If learning is deep, AI amplifies thinking. ☕ Final Thought AI didn’t break education. It exposed it. If students can complete tasks without thinking, the design—not the learner—is flawed. At Café Learning, we don’t fight AI. We redesign learning so thinking becomes non-negotiable. Because in a world of instant answers, the real power is asking better questions. #CafeLearning #AIinEducation #FutureOfLearning #EducationReform #CriticalThinking #EdTech #TeacherLeadership

Education is one of the most demanding inference environments in AI—students expect instant, personalised responses, and institutions operate on tight margins with no tolerance for runaway GPU costs. Our latest analysis on the SwiftInference Blog examines how the EdTech sector is moving from AI pilots to production deployment in 2026. We look at three use cases that are already reshaping how learning works: real-time adaptive tutoring, AI-powered formative assessment at scale, and intelligent content generation for educators. With open models like Google's Gemma 4 lowering the barrier to entry, the competitive differentiator is no longer which model you use—it's how efficiently you can serve it. Latency, throughput, and cost-per-query are becoming as important to EdTech product teams as curriculum design. Read the full analysis here: https://lnkd.in/gkHp-Jpk I'm curious—for those working in education or EdTech: where are you seeing inference costs or latency create the biggest friction in your AI rollouts? What's the use case you're still waiting for the infrastructure to catch up to?

What if AI could actually level the playing field in higher education? In my latest conversation with Michael Evans, Senior Lecturer at Georgia State University, we dive into one of the most practical—and powerful—uses of AI in the classroom: AI-powered tutor bots. Mike is using AI to give students something that’s traditionally been impossible to scale—personalized, one-on-one academic support. In his words: Students come in with wildly different backgrounds—some international, some with strong civic education, others without. AI tutor bots help bridge that gap by meeting students where they are and guiding them through course material at their own pace. Even more interesting—he trained these bots directly on his own textbook, creating a tightly aligned learning experience that supports students without replacing critical thinking. 💡 This is what real AI integration looks like: Not replacing educators Not shortcuts But expanding access to high-quality learning support at scale If you’re thinking about AI in education, this is a conversation you don’t want to miss. #AIinEducation #HigherEd #EdTech #TeachingInnovation #FutureOfLearning #ArtificialIntelligence

I really enjoyed this conversation with Zach Kinzler about AI as it relates to education (in general), civic education (in particular), and politics. My main contention is that in ways big and small, AI is Janus-faced: it can promote good or evil, empower or cripple, liberate or enslave, inform or deceive, extend human lifespans or end human life. In both education and in politics, our task is to ensure that we take advantage of its constructive / beneficial potential while at the same time mitigating its potential for destruction and harm. This is no easy task, and the difficulty of the task is exacerbated by the fact that AI capabilities are increasing at an exponential rate. Still, I believe wholeheartedly that we have a responsibility to ourselves and future generations to confront this challenge head on to the best of our abilities. Zach is an excellent interviewer, and I appreciate how he pushed me to further develop these thoughts, some of which were (and still are) half-baked.

🚀🤖 DAY 5 | 11 April 2026 🎓 5-Day Learning Series 🌍 The New Digital Classroom — AI as a Thought Partner, Not a Shortcut 🧠 A Teacher’s Guide to AI Tools 📌 Practical Tools for Real Classroom Impact AI is no longer the future of education… 👉 It is the present. But the real difference is not in having access to AI… 👉 It is in how teachers use it. 💡 The Reality: AI can: ✔ Save time ✔ Enhance lesson quality ✔ Personalize learning ✔ Improve student engagement But only when used with purpose and strategy. ⚠️ The Risk: If used blindly… ❌ AI becomes a shortcut ❌ Thinking is reduced ❌ Learning becomes shallow 👉 Passive AI use = Weak Learning 🎯 The Shift We Need: From: 👉 Using AI for answers To: 👉 Using AI for thinking, questioning, and improving 🛠 What Smart Teachers Do: ✔ Use AI for lesson planning and creativity ✔ Generate multiple explanations for clarity ✔ Provide instant feedback opportunities ✔ Design differentiated learning experiences ✔ Guide students to question AI outputs 🌟 The Big Insight: AI will not replace teachers… 👉 But teachers who use AI effectively will redefine education. 📚 Final Message of the Series: In an AI-powered world, Teaching what to think is not enough… 👉 We must teach students HOW to think. 💬 Let’s Reflect: Are we using AI to: ✔ Replace effort? or ✔ Enhance thinking? 👇 Share your thoughts 👨🏫 Dr. Zeeshan Ahmed Khan 📚 Digital Learning • Innovation • Future-Ready Education #AIinEducation #EdTech #FutureOfEducation #TeacherLeadership #DigitalLearning #EducationInnovation #21stCenturySkills #AIEducation #SmartTeaching #PersonalizedLearning #InstructionalDesign #TeacherDevelopment #LearningTransformation #AItools #FutureReadySchools 🚀