AI in Education

How AI is changing schools and universities: AI literacy, assessment, research, policy and the student experience. 32 articles.

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• 92% of Students Use AI for School — But Nobody Taught Them How — Microsoft's 2026 AI in Education Report reveals massive adoption with almost zero formal training. Here's why that's a ticking time bomb.
• The AI Cheating Wars: False Accusations, Extreme Surveillance, and the Coming Assessment Revolution — 95,000 students surveyed. 9% admit to AI cheating. Professors are using mirrors for surveillance. And detection software doesn't work. Higher ed has a crisis — and bans aren't the answer.
• The World Just Got Its First AI Literacy Rulebook for Schools — And It's About Time — The EU and OECD launched a global AI literacy framework for K-12. Here's why it matters and what schools are still getting wrong about AI in education.
• The AI Grade Inflation Crisis: Universities Are Producing A-Students Who Can't Think — A UC Berkeley study finds a 30% surge in A grades driven by AI chatbots. Meanwhile, CS failure rates soar. Higher education has a learning crisis.
• Universities Are Making AI Literacy Mandatory — But Teachers Say It's Killing Critical Thinking — SUNY's new AI literacy mandate highlights higher ed's biggest tension: students need AI fluency, but teachers warn it's eroding the thinking skills that matter most.
• CMU, MIT, and Stanford Are Building the AI Fluency Pipeline — And It's Free — Carnegie Mellon's Learnvia, MIT's Universal AI, and Stanford's AIMES grants are rewriting how universities teach AI. Here's what it means for everyone.
• 95% of Students Use AI, But Only 20% of Universities Have a Policy. That's a Crisis. — Coursera's 2026 report reveals a massive AI governance gap in higher education. Nearly everyone uses AI on campus — but almost nobody has rules for it.
• Specialized Educational AI Is Here — And It's the End of One-Size-Fits-All Learning — Generic AI chatbots are giving way to specialized educational intelligence built for real pedagogy. Here's why this shift matters more than any edtech trend in a decade.
• The Academic Integrity Crisis: Why Universities Must Redesign Assessment for the AI Era — AI detection tools are failing. 92% of students use AI. The old assessment model is broken. Here's what needs to replace it.
• Metacognitive Laziness: Are AI Tools Making Students Think Less? — The OECD warns about students offloading cognitive work to AI. The data is concerning, but the solution isn't banning tools.
• Universities Are Finally Treating AI as Infrastructure, Not an Experiment — The shift from pilot programs to embedded AI across operations, research, and security is redefining what a modern university looks like.
• Adaptive Learning Platforms Are Reshaping Higher Education — And Most Schools Aren't Ready — 71% of universities will deploy adaptive AI by 2026. Here's why most are fumbling the transition and what actually works.
• AI Literacy Is the New Core Competency Every Student Needs — And We're Failing to Teach It — 66% of hiring leaders say AI fluency is non-negotiable. Yet most schools treat it as optional. That gap is about to hurt.
• AI PhDs Are Going Back to Academia — And That Changes Everything — For the first time in a decade, new AI PhDs are choosing universities over Big Tech. Stanford's 2026 AI Index reveals a brain drain reversal with massive implications.
• The AI Literacy Gap: 90% of Students Use AI, But Almost Nobody's Teaching Them How — Universities face a critical disconnect — students are deep into AI tools while institutions scramble to create policies and training. Here's what needs to change.
• Nearly 3,000 Papers Have Fake Citations: The AI-Fueled Crisis Threatening Academic Research — A landmark audit of 2.5 million papers reveals fabricated citations are surging 12x. Here's why this matters far beyond academia.
• Schools Are Done Experimenting With AI — Now Comes the Hard Part — A new CoSN report reveals K-12 districts are shifting from AI experimentation to governance. Here's why that transition matters more than any tool launch.
• Universities Are Finally Writing the AI Rulebook—And It's About Time — SUNY's systemwide AI policy and ASU's controversial course builder reveal higher education's AI growing pains. What it means for the future of learning.
• The Ed-Tech Evidence Crisis: Why Schools Are Finally Asking 'Does This Actually Work?' — A new study reveals only 2% of common classroom tech tools meet the highest evidence standards. The ed-tech reckoning is overdue.
• From Lab to Launch: How AI Is Collapsing the Gap Between University Research and Industry — Universities are rethinking research workflows with AI. From Microsoft fellowships to Penn State programs, the academic-industry gap is shrinking fast.
• Universities Have an AI Trust Crisis — And It's About to Get Worse — As the THE Asia Summit debates 'trusted AI' and US research funding evaporates, higher education faces an existential question: who controls the research agenda?
• 27 States Are Writing AI Education Rules Right Now — And Most Schools Aren't Ready — A wave of state legislation is reshaping how AI can be used in classrooms, from data center moratoriums to student privacy mandates. Here's what educators and builders need to know.
• Can AI Teach College Students to Disagree Without Destroying Each Other? — Universities are deploying AI chatbots to teach constructive dialogue as campus polarization hits a 40-year high. Here's what's working and what's not.
• Students Know AI Is Making Them Worse at Thinking — And They Can't Stop Using It — A RAND Corp survey reveals 7 in 10 students worry AI is eroding their critical thinking skills, yet usage keeps climbing. Here's what this means.
• 400,000 Teachers Are Learning to Build AI Agents — This Changes Everything — The AFT partnered with Anthropic, Microsoft, and OpenAI on a $23M initiative to train teachers in agentic AI. Here's why this is the most important AI story in education.
• AI Research Is Splitting Along Geopolitical Lines — And Universities Are Caught in the Middle — Made-in-China AI research is diverging from Western labs. Universities face a critical choice about collaboration, funding, and academic freedom.
• AI Agents Are Quietly Reshaping How We Learn, Research, and Publish — From WordPress MCP to browser-based AI tools, autonomous agents are transforming education and research workflows in 2026.
• Generation AI Is Here — And We're Already Failing Half of Them — The digital divide is becoming an AI divide. Without universal computing education, we're creating two classes of citizens. Here's what needs to change.
• KPMG Just Told Us What Skills Actually Matter in the AI Era — And It's Not Coding — KPMG US is revamping its intern program to prioritize critical thinking over technical skills. Here's why this shift matters for every professional.
• Utah Wants Students to Opt Out of Coursework They Disagree With — Here's Why That's a Problem — Utah's new bill lets students skip assignments that conflict with their beliefs. What does this mean for education, research integrity, and critical thinking?
• The Screen-Free Schools Movement Is Missing the Point — Legislators are pushing to ban screens in schools, but the real problem isn't technology — it's how we use it. Here's what the debate gets wrong.
• Fifteen Years and Billions Later: EdTech's Honest Reckoning With What Actually Works — After 15 years and billions invested, learning technology faces hard questions. Here's what the research says about what works and what doesn't.