AI for Educators Daily with Dan Fitzpatrick

Send us Fan Mail47% of US students considered changing their major due to AI's job market impact, revealing rational AI education anxiety.In this episode:A Gallup and Lumina Foundation survey found 47% of US students considered changing their major due to AI education anxiety, highlighting a rational fear.Educators must shift from 'transmission of knowledge' to building 'deep capacity' in students, focusing on metacognitive skills and lifelong learning as core AI skills for teachers to impart.Microsoft research reveals a risk of 'misplaced confidence' when students use AI without proper pedagogy, underscoring the need for critical thinking over tool mastery to counter the AI impact on students.The future of education AI hinges on teacher capacity; simply providing AI tools to students is ineffective without equipping teachers with the skills to integrate them meaningfully.Protecting student intellectual property and promoting AI literacy for educators are crucial ethical considerations to ensure AI empowers individuals rather than consolidating value.Chapters:00:00 — Cold open & welcome00:25 — Understanding AI education anxiety: The 47% student impact00:55 — Justin Spelhaug's perspective: Why student fear is rational01:50 — Beyond fear: The shifting job market and future of education AI02:40 — Equipping students for change: Durable AI skills for teachers03:45 — The danger of misplaced confidence and AI impact on students04:40 — Teachers as change agents: Why AI literacy for educators starts here05:40 — Ethical considerations: Who owns the upside of AI?06:45 — Navigating fear with learning: Making us more humanHow many students are changing their majors due to AI education anxiety?A recent Gallup and Lumina Foundation survey found that 47% of US students considered changing their major due to AI's job market impact, and 16% had already done so.What AI skills should teachers focus on to prepare students for the future?Teachers should focus on imparting metacognitive capabilities, such as critical thinking, creativity, insight, and fostering a lifelong learning mindset, which are durable AI skills for teachers and essential for the future of education AI.How can educators ensure students effectively use AI tools and avoid misplaced confidence?Educators must design learning experiences that demand depth and critical review, emphasizing that AI outputs are drafts, to prevent students from gaining confidence without true knowledge, thereby mitigating the negative AI impact on students.Featuring: Dan Fitzpatrick, Justin Spelhaug, Microsoft Elevate, Microsoft, Forbes, Tech for Social Impact, Gallup, Lumina Foundation, Stanford.Follow AI in Education with Dan Fitzpatrick for more on AI in education.

Send us Fan MailJeff Bezos says AI won't replace jobs but cause a labor shortage, demanding new skills and radically reshaping AI job creation education.In this episode:Jeff Bezos predicts AI will lead to a labor shortage, not job replacement, profoundly impacting AI job creation education.AI's expansion into physical manufacturing and human-robot interaction demands new AI skills for teachers and students alike.The future of work will require uniquely human skills such as judgment, ethics, and creativity, integrating humans deeply into AI-driven processes.Educators should prepare students for roles that do not yet exist, emphasizing collaboration with AI and understanding its physical and ethical limitations.Professional development must empower teachers to explore the AI future of work and strategically embed AI skills into existing curricula.Chapters:00:00 — Cold open & welcome00:28 — Jeff Bezos's surprising AI labor shortage prediction at VivaTech Paris01:00 — AI job creation education: Enhancement, not replacement01:45 — AI in manufacturing: Prometheus and the evolving nature of jobs02:30 — AI moving into the physical world: Unitree robots and brain-computer interaction03:15 — Redefining AI literacy for physical AI collaboration in schools04:15 — Cultivating uniquely human skills: Wonder, judgment, and ethics for the AI future of work05:00 — Transforming professional development: AI skills for teachers as change agents05:45 — Outthinking machines: Optimistic future of human ingenuity with AIWhat is Jeff Bezos's prediction about the AI impact on jobs?Jeff Bezos predicts that AI will lead to a labor shortage by creating new opportunities and increasing demand for human labor, rather than causing mass redundancies.How does AI job creation education need to change based on this prediction?AI job creation education must pivot to prepare students for roles that don't yet exist, focusing on human-in-the-loop skills like critical thinking, judgment, and ethical reasoning that collaborate deeply with AI.What are some new AI skills for teachers to consider for the future of work?Teachers need to develop skills in understanding the ethical and safety considerations of physical AI, designing human-AI interaction protocols, and fostering uniquely human capabilities like imagination and empathy in their students.Featuring: Dan Fitzpatrick, Jeff Bezos, Amazon, Prometheus, VivaTech Paris, Blue Origin, Unitree, HABS, Rishi Sunak.Follow AI in Education with Dan Fitzpatrick for more on AI in education.

Send us Fan Mail96% of older teens use AI weekly for learning, highlighting why an AI literacy framework is crucial for all educators right now.In this episode:A 2025 survey by the European Commission and OECD revealed 96% of older teens use AI for learning weekly, underscoring the urgent need for an AI literacy framework.The AI literacy framework (AILit) from the European Commission and OECD defines four core domains: Engage with AI, Create with AI, Manage with AI, and Shape AI, guiding educators on teaching AI literacy.Effective teaching AI literacy means students understand AI's impact, critically evaluate outputs for bias, and make ethical choices, rather than just using AI tools.The 'Engage with AI' domain suggests activities like having students evaluate AI-generated historical summaries for accuracy and bias, fostering critical thinking skills.Educators must empower students to 'Shape AI' by investigating its ethical and environmental impacts, moving beyond consumption to proposing responsible design changes.Chapters:00:00 — Cold open & welcome00:30 — Why an AI Literacy Framework is crucial for primary and secondary AI education01:30 — Understanding AI literacy beyond tool usage: Outsourcing doing, not thinking02:45 — Domain 1: Engage with AI – Critical evaluation in history lessons03:45 — Domain 2: Create with AI – Using AI for imaginative exploration in art04:45 — Domain 3: Manage with AI – Strategic delegation and human judgment in science05:45 — Domain 4: Shape AI – Empowering students to influence AI's future and ethics07:15 — The critical need for educator AI guidance and teacher support08:15 — The AILit Framework as a roadmap for reflective and responsible learnersWhat is the AI Literacy Framework for primary and secondary education?It's a joint initiative from the European Commission and the OECD designed to equip learners with the knowledge, skills, and attitudes to understand, critically evaluate, and ethically use AI systems, focusing on four domains: Engage, Create, Manage, and Shape AI.How can teachers use AI marking safely and effectively in the classroom?The framework suggests using AI to outsource 'doing' tasks like summarizing or organizing data, while teachers and students retain responsibility for critical thinking, interpretation, and drawing unique conclusions, ensuring AI enhances rather than replaces learning.Why is teaching AI literacy important for young students?It's vital because 96% of older teens already use AI weekly for learning, and this framework helps ensure they develop reflective awareness, critical judgment, and ethical considerations, preventing over-reliance that could diminish independent reasoning and social skills.Featuring: Dan Fitzpatrick, OECD, European Union, European Commission, PISA Governing Board, CodeAI, AILit Framework, EU AI Act, Digital Education Action Plan 2021-2027.Follow AI in Education with Dan Fitzpatrick for more on AI in education.

Send us Fan MailAnthropic's new Mythos-class AI, Claude Fable 5, compressed two months of human work into a single day for Stripe. This changes everything for AI in education.In this episode:Anthropic's new Mythos-class AI, Claude Fable 5, achieved a 50-million-line codebase migration for Stripe in one day, a task estimated to take humans two months, signifying a major leap for AI in education.Effective teaching with AI requires fostering 'task imagination' in students, enabling them to define multi-day projects for AI and articulate clear quality criteria.AI assessment for educators should evolve to evaluate students' ability to direct and critically judge AI-generated work, rather than just their capacity to perform tasks themselves.Strict safety classifiers on Claude Fable 5, sometimes rerouting science queries, provide valuable, live examples for teaching AI literacy in schools about governance, ethics, and the dual-use dilemma.School leaders deploying AI for school operations must carefully examine usage-based pricing models for new AIs like Claude Fable 5 and review data retention policies (e.g., 30-day retention) against data protection obligations.Chapters:00:00 — Cold open & welcome00:30 — Introducing Claude Fable 5: A Mythos-class AI and its impact on education01:25 — Beyond benchmarks: Fable 5's leap in delegation and responsibility02:30 — The missing skill: Preparing students for 'task imagination' with AI03:45 — Real-world AI literacy: Dual-use dilemma and Fable 5's safety guardrails05:00 — Teaching with AI: Ethics, judgment, and critical thinking with Fable 506:00 — Nuances for school leaders: Pricing and data retention for AI in education07:30 — The future of AI assessment: Directing and judging work, not just doing itWhat is Mythos-class AI and how does it change AI in education?Mythos-class AI, exemplified by Anthropic's Claude Fable 5, can autonomously manage complex, multi-day projects, requiring educators to prepare students to 'delegate well' and develop 'task imagination' rather than just perform tasks themselves.How can teachers use AI marking safely with advanced models like Fable 5?While Fable 5's primary use isn't marking, its underlying principle of delegating responsibilities rather than discrete tasks means teachers should focus on designing comprehensive AI assessment for educators that evaluates students' ability to direct and judge AI work, while remaining vigilant about data retention policies.What is 'task imagination' and why is it important for AI literacy in schools?Task imagination is the ability to define a large, multi-day project for an AI, articulate precise quality criteria, and then evaluate its output; this skill is crucial for AI literacy in schools as advanced AIs like Claude Fable 5 demand clear, complex briefs to operate effectively.Featuring: Dan Fitzpatrick, Anthropic, Claude Fable 5, Opus, Mythos-class, FrontierCode, Stripe, Felix Ryberg, Nate B. Jones.Follow AI in Education with Dan Fitzpatrick for more on AI in education.

Send us Fan MailThe world's first AI-designed vaccine, whose active ingredient was conceived by machine learning, just passed its initial human safety tests.In this episode:The world's first AI-designed vaccine, developed by the University of Cambridge and DIOSynVax, successfully completed initial human safety trials.This AI in vaccine development focuses on creating "super antigens" that target stable features across entire viral families, including future threats, moving beyond reactive development.The AI designed vaccine uses DNA, making it more stable for global distribution, and can be administered via microfluid jet for easier, widespread deployment.The approach highlights how AI can identify unchanging core principles within complex, evolving systems, offering lessons for curriculum design and the future of vaccines.While showing promise in a Phase 1 trial published in the Journal of Infection, further research is crucial to determine the AI designed vaccine's long-term efficacy and protection.Chapters:00:00 — Cold open & welcome00:27 — The first AI-designed vaccine: a foundational breakthrough01:25 — Moving from reactive to proactive AI in vaccine development02:27 — How AI designs 'super antigens' for broad protection03:45 — AI's lessons for identifying core principles in education04:55 — Practical innovations: DNA vaccine stability and microfluid jet delivery06:10 — Phase 1 trial findings and the human-in-the-loop validation07:20 — Future of vaccines: AI's potential beyond coronaviruses08:20 — Balancing groundbreaking innovation with scientific cautionHow is this AI designed vaccine different from previous vaccine development?This new AI designed vaccine, from the University of Cambridge and DIOSynVax, is the first where the active ingredient (antigen) was entirely conceived by machine learning, targeting stable features across whole viral families rather than individual strains.What are the practical benefits of this new approach to AI in vaccine development?The AI designed vaccine uses DNA for greater stability, making it easier to store and transport globally, and it can be administered via a microfluid jet, simplifying large-scale vaccination efforts.What does this AI healthcare innovation mean for future of vaccines?This AI-driven method aims to create "future-proofed" vaccines that can anticipate and protect against emergent threats like new Sarbeco coronaviruses or seasonal flu, shifting vaccine development from reactive to proactive.Featuring: Dan Fitzpatrick, University of Cambridge, DIOSynVax, Journal of Infection, Sarbeco coronavirus, Jonathan Heeney, Saul Faust, Marian Knight, NIHR.Follow AI in Education with Dan Fitzpatrick for more on AI in education.

Send us Fan MailAn AI tutor helped students get right answers but not grasp core concepts, highlighting how AI in schools can silence productive struggle and deeper learning.In this episode:An observation of seventh-grade math students showed AI tutors in schools can help students get right answers without truly understanding core concepts like fractions, raising concerns about AI for deeper learning.Shael Polakow-Suransky, president of Bank Street College of Education, argues that AI can strip away 'productive struggle,' a crucial element for students to build their own knowledge, emphasizing the human-centered aspect of the AI in education debate.Integrating AI into classrooms could deepen social isolation among teens, mirroring concerns raised by Jonathan Haidt about excessive screen time and the need for more student AI interaction.The New York Board of Regents' "portrait of a graduate" framework emphasizes critical thinking, communication, and creative problem-solving, underscoring the need for teacher AI tools that support complex, project-based learning.Science teacher Brendan Harney discovered students prefer a real teacher for complex problems, using AI to help students probe assumptions *before* human interaction, illustrating a balanced approach to teacher AI tools.Chapters:00:00 — Cold open & welcome00:45 — The silent classroom: AI tutors helping, but not teaching, fractions01:45 — The cost of silence: Why productive struggle is essential for deeper learning02:45 — AI tutors in schools: Undermining relationships and the Bank Street approach03:45 — Social implications: Jonathan Haidt's warnings on isolation and student AI interaction04:45 — Systemic issues: How standardized testing influences AI deployment and equity05:45 — A path forward: Designing AI for deeper learning and authentic assessment06:45 — Teacher AI tools: Brendan Harney's strategy for human-in-the-loop AI07:45 — The choice: Amplify teachers or replace them with AI tutors in schoolsWhat are the hidden costs of using AI tutors in schools?The hidden costs include sacrificing 'productive struggle' essential for deep understanding, reducing vital human interaction, and potentially widening educational equity gaps by providing isolated screen time instead of rich, collaborative learning experiences.How can AI in education support deeper learning without replacing teachers?AI can support deeper learning by handling logistical tasks, organizing student drafts, and gathering feedback, which frees teachers to focus on critical capacities like ethical debate, complex problem-solving, and fostering genuine student connections.What is the primary concern about student AI interaction in the classroom?The primary concern is that over-reliance on one-to-one AI tutors can lead to social isolation, disrupting the relationships and collaborative interactions that are fundamental to how children learn and develop, and which AI cannot replicate.Featuring: Dan Fitzpatrick, Shael Polakow-Suransky, Bank Street College of Education, Mary Helen Immordino-Yang, Jonathan Haidt, Fannie Lou Hamer Freedom High School, New York Performance Standards Consortium, New York Board of Regents.Follow AI in Education with Dan Fitzpatrick for more on AI in education.

Send us Fan MailOnly four in ten teenagers believe using AI for all homework is cheating, revealing a massive grey area for student perspectives AI.In this episode:A study by Oxford University Press reveals only 44% of students believe using AI for all homework is cheating, highlighting complex student perspectives AI.Despite varied views on AI cheating homework, 72% of students prefer not to use AI for school tasks, valuing their own voice and teacher's unique human qualities.Students are asking for clear guidance on AI use in schools, with 77% wanting teachers to integrate AI to make complex work easier and offer more one-to-one support.Teachers should start AI integration with low-risk tasks and focus on teaching the AI native generation how to critically evaluate AI outputs as 'first drafts.'Chris Goodall of Bourne Education Trust points out that if students resort to AI shortcuts, it's often a 'task design problem,' emphasizing the need for pedagogy that encourages deep thinking.Chapters:00:00 — Cold open & welcome00:30 — Exploring student perspectives AI: The Oxford University Press report01:25 — Only 44% think AI homework is cheating: Understanding student nuance02:30 — Why students hesitate to use AI: Valuing their own voice03:45 — The irreplaceable value of teachers according to students04:30 — What students want from AI: Augmentation, not replacement05:45 — Practical tips for teachers and school leaders to navigate AI in education07:00 — Addressing AI anxiety and the 'first draft' principle07:55 — Rethinking task design to prevent AI cheating homework08:45 — Proactive leadership and a reassuring outlook on the AI native generationHow do student perspectives AI define cheating?Only 44% of students consider using AI for all homework to be cheating, but nearly one in five think even asking for homework tips from AI is cheating, showing a wide range of understanding.What do students value most in their teachers regarding AI in education?Students highly value their teachers' empathy, ability to explain concepts in different ways, and their personality, recognizing these as qualities AI cannot replace.How can teachers best integrate AI use in schools?Teachers should start with low-risk tasks like drafting emails, provide specific AI instructions, and treat all AI outputs as 'first drafts,' critically reviewing them with their expertise.Featuring: Dan Fitzpatrick, Oxford University Press, Teaching the AI Native Generation report, Dr Alexandra Tomescu, Dr Sara Ratner, AI in Education Oxford University (AIEOU), Judith Grey, Oxford’s Educational Research Forum.Follow AI in Education with Dan Fitzpatrick for more on AI in education.

Send us Fan MailHighlights- Today we are exploring a new essay by Dario Amodei, the founder of Anthropic, the company behind Claude, which is, without a doubt, one of the most powerful AIs we have in the world right now.- Because in many ways, we're the Hobbits, sometimes, trying to rouse our own Treebeard.- Now, those are global, existential threats, and it might feel a bit dramatic for a Year 8 geography lesson.- The core challenge, he argues, won't be incentivizing growth, but finding a way for everyone to share in the benefits, and crucially, for people to find meaning, purpose, and agency in a world where machines can do so much.- We need to proactively identify these areas and establish standards for integrating AI to achieve genuine efficiencies, giving teachers back time, focus, and energy to connect with students.

Send us Fan MailHighlights- Today we are exploring a sentiment that echoes through so much of the current educational discourse: "Artificial intelligence in education is transforming classrooms." This phrase, this idea, you hear it everywhere, in articles, in webinars, in conversations in the staffroom.- The real value, the real transformation, comes when we are intentional about *how* we integrate it, and always, always, start with purpose over technology.- Marking formative assessments, drafting communications, generating starter activities, differentiating content for varying reading levels in a Year 7 English class.- We're designing learning that cannot be faked because it demands depth, care, and imagination.- Encourage those "Coffee Cart conversations" where teachers can share quick wins and frustrations informally.

Send us Fan MailFind out moreHighlights- Today we are exploring a really striking piece of reporting from NPR, by Lee V.- What we’re seeing, and what teachers are intuiting, is that AI fundamentally alters how we process information, how we create, how we learn, and how we assess.- Before, they'd spend hours sifting through websites, trying to summarise and synthesise information.- Teachers often get labelled as resistant to change, but more often than not, they just need time and space.- AI is helping us hold the complexity, so we have more capacity for creativity, for connection, for the deeply human parts of education.Support the show

Send us Fan MailFind out moreHighlights- Today we are exploring a headline from the Financial Times that really caught my eye.- It’s because they’re struggling to use AI as a tool to *augment* their own capabilities, to make their human work better, faster, and more insightful.- So, what does this look like in a concrete educational setting?- Maybe it’s using AI to differentiate learning materials more quickly for a diverse class, or to generate varied practice questions for a specific topic, freeing the teacher to spend more time on one-on-one student interaction.- If AI can produce sophisticated 'products,' then our assessments need to go beyond just the product.Support the show

Send us Fan MailHighlights- Today we are exploring an article I wrote for Forbes this week, simply titled "Prompt Engineering Isn't Dead, But The Caricature Is." It's a piece where I tried to cut through some of the noise about a topic that's often talked about, but rarely deeply understood.- Early systems, when they first came out, rewarded a kind of incantation.- We're not teaching students to outsmart machines with clever tricks; we're teaching them to outthink them by designing better processes.- You adjust your communication, you say more, or you break it down differently.- It builds AI literacy around four key capabilities: engaging with AI, creating with it, managing it, and designing it.Support the show

Send us Fan MailFind out moreHighlights* Instead of banning AI, leverage it by redesigning assignments, such as coding an adventure game and then using AI to expand its narrative, focusing on student interaction with the tool.* Shift from simply using AI to critically evaluating its outputs; focus professional development on understanding AI's limitations, biases, and ethical implications within specific subject areas.* Prioritize "Purpose Over Technology" by defining *why* a subject is taught and what human capabilities are cultivated *before* determining how AI might serve those educational goals.* Raise expectations for student work: if AI can produce mediocre essays, design assignments that demand depth, critical thought, unique context, and genuine imagination that machines cannot replicate.* Approach AI integration with an evidence-based mindset, questioning assumptions about cheating or workload reduction, and researching its actual impact on learning processes.* Implement a "human-in-the-loop" principle, where educators use AI outputs as drafts, applying their wisdom, judgment, and care to refine and improve them, protecting core human domains.Mentioned* *Stanford Report** Mehran Sahami* Karin Forssell* Victor Lee* Stanford’s Computer Science 106A* "Infinite Story" assignment* Stanford’s AI Tinkery* "Purpose Over Technology" framework* "Three Ps" of assessmentSupport the show

Send us Fan MailHighlights* Over-reliance on AI can subtly erode an educator's judgment and authenticity, leading to moments of self-doubt even for seasoned professionals who *know* their material is good.* Generative AI's confident fluency can lead students (and educators) to project human intent and authority onto it, making them susceptible to "persuasion-bombing" and outsourcing their own critical judgment.* Humans possess three irreplaceable qualities that AI cannot replicate: the capacity for *purpose* (asking 'why,' understanding consequences), *character* (authenticity, integrity, empathy), and the creation of *mental models* coupled with *interoception* (embodied sensing and understanding).* Allowing AI to constantly outsource writing or problem-solving can lead to "cognitive atrophy," where students feel worse about their own abilities and lose their unique voice, highlighting the need for "beneficial friction" in AI use.* Educators must design tasks that demand depth, care, and imagination, pushing students beyond cool AI answers to grapple with the underlying 'why,' consider real-world fallout, and cultivate their own transferable understandings and embodied learning.* Strategies for educators include "authoring first" before AI refinement, setting limits on AI usage, prioritizing human relationship, consciously noting what AI *cannot* do, and maintaining vigilant oversight.Mentioned* Deborah Ancona* Kate W. Isaacs* MIT Sloan Management Review* ChatGPT* BCG study* Renee Gosline

Send us Fan MailFlat-rate AI plans are ending, forcing educators to rethink usage as AI companies become profitable. This shift in EdTech pricing will significantly impact school budgets and classroom practice.Highlights- Today we are exploring a fascinating analysis of the sheer pace of AI acceleration we’ve seen in just one week, drawing from a recent expert commentary that really captures the feeling that the individual stories are adding up to something much more than the sum of their parts.- When you're trying to roll out AI tools across your school, your budget is finite.- These agents will intelligently look across the entire web, including blogs, news, social posts, real-time data, and then send you an intelligent, synthesised update with links at the right moment to help you take action.- But this week, an internal model at OpenAI disproved this conjecture, leveraging multi-dimensional math flattened into 2D, producing more pairs than the grid.- On one hand, opposition to data centers is growing, but on the other, facts are emerging to counter some of the bigger critiques.

Send us Fan MailFind out moreHighlights- Today we are exploring a really fascinating piece from Vatican News, an article by Isabella Piro, reporting on Pope Leo XIV’s first encyclical, a document called ‘Magnifica humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence’.- It’s not just about integrating a new tool; it's about fundamentally rethinking how we prepare students to navigate this pivotal choice.- It's about ensuring students don't develop what I call "cognitive debt" from over-reliance on AI, where they outsource their thinking along with the doing.- The encyclical also talks about "social justice" and "peace." And this brings us directly to the role of AI as an equalizer.- Pope Leo XIV’s encyclical pushes us firmly into Box 2 thinking.

Send us Fan MailHighlights- Today we are exploring a really impactful piece from Natasha Singer in The New York Times, published just recently on May 27th, 2026.- Now, as I read this, my mind immediately jumps to a few places.- If AI allows students to simply bypass the thinking, the productive struggle that leads to real learning, then we have a problem.- For those grades, screens might genuinely be a distraction from the fundamental work of building motor skills, social emotional connections, and foundational literacy through physical interaction.- Weingarten states they are negotiating safety and privacy standards and are "willing to walk away from the funding" if those standards aren't met.

Send us Fan MailFind out moreHighlights* Resist AI's convenience to preserve the productive struggle essential for building intelligence and character, as argued by Wendy Liu.* Embrace the painstaking process of learning crafts like coding or writing, recognizing that the journey itself, not just the output, transforms understanding.* Be wary of AI "deskilling" complex creative and cognitive processes, reducing them to automated tasks that may diminish learning richness.* Uphold the principle of "Outsource the doing, not the thinking" – true human development requires students to engage deeply with problems, not avoid them.* Equip students with AI literacy to "peer into the black box," fostering collaborative reasoning and understanding AI's limitations, not just its tools.* Design learning experiences that demand depth, care, and imagination, such as cross-referencing data and designing community action plans, which AI cannot replicate.* Utilize frameworks like the "Three Ps" (Product, Process, Performance) for assessment to ensure students demonstrate understanding beyond AI-generated outputs.Mentioned* Wendy Liu (writer and software developer)* OpenAI’s Codex* "Three Ps" framework for assessment (Product, Process, Performance)

Send us Fan MailStudents automatically reaching for AI before thinking is the real education problem, not cheating. This passivity erodes deep student learning and critical classroom practice Find out moreHighlights- Today we are exploring a really insightful piece from Forbes, written by John Koetsier, a senior contributor there.- It’s about understanding the underlying mechanics, not just passively consuming the outputs.- One group, as the article puts it, is outsourcing their learning.- It was about something much more foundational, a character trait that we've valued for generations: grit.- Gurnaney's final piece of advice for parents is to "start early." He urges them not to be intimidated by AI or keep their kids away from it, thinking it's evil or dangerous.

Send us Fan MailFind out moreHighlights* A University of Cambridge study found that top AI models like Claude and ChatGPT matched human degree classifications only about 50% of the time when grading university essays.* AI consistently undervalued top-tier work and overvalued lowest-ranked essays, exhibiting a "central tendency bias" by assigning middling marks to most submissions.* AI systems were overly sensitive to linguistic features like essay length, vocabulary variation, and sentence complexity, often rewarding style over substance rather than deep critical thinking.* The research reinforces that current assessment tasks may not demand enough "depth, care, and imagination" if AI can score well based on surface-level features.* AI can serve as a supportive tool for error detection, consistency checks, or triaging feedback, freeing educators for higher-order tasks, but it's not ready for final grading.* Both students and staff emphasized that human assessment is fundamental to trust, motivation, and the "social contract" of education, which AI cannot replicate.* School leaders should adopt AI strategically, focusing on enhancing human capabilities and addressing existing workflows, rather than solely automating grading for efficiency.Mentioned* Dr. Deborah Talmi* Dr. Alexandru Marcoci* Dr. Yael Benn* Claude* ChatGPT* Three Ps of assessment (Product, Process, Performance)* Cognitive stretch

Send us Fan MailFind out moreHighlights- What the study essentially found is that there’s widespread fear about AI's impact on jobs, and a significant belief that our education system just isn't keeping pace.- The study found that over half the public, fifty-six percent, and even nearly sixty percent of employers, agree with the prediction that AI could eliminate half of these roles within five years.- This, for me, is a massive red flag and a huge opportunity all at once.- It's about how AI is helping us hold the complexity, so we have capacity for creativity.- The real value is not in what the machine produces, but in how the student responds.

Send us Fan MailFind out moreHighlights- It's a fascinating look at where the rubber is really meeting the road.- It’s an example of enhancement, not replacement, allowing students to access personalized support that might otherwise be unavailable.- The authors then pivot to a study conducted in Northern Italy, which focused on the impact on educators.- And critically, they didn't just sit back; they *directly reallocated* that time to 1:1 student mentorship, motivational support, and emotional support.- In India, they're expanding the Google AI Educator Series, offering practical, mobile-first training customized to the unique needs of Indian educators.Support the show

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Send us Fan MailLive from the Shoreline Amphitheatre at Google I/O 2026, I sat down with Chris Phillips, VP & General Manager of Google for Education, minutes after Sundar Pichai's keynote to ask the questions teachers actually want answered.For two years, critics have argued the evidence base for AI in education was thin. This week, Google published the first major randomised control trial of Gemini in schools, showing 1.2 to 1.7 years of learning gains in Sierra Leone, and a 70% reduction in teacher admin time in Italy and Northern Ireland.So is this the moment the argument changes?In this interview we get into:✅ What teachers actually did differently to unlock the 70% time-saving✅ The single Google I/O announcement every K–12 principal should pay attention to✅ Why Google is rolling out training in 6 Indian languages and across all 55 African Union member states — and what that signals for US and UK schools✅ The cognitive dependency risk — and how Google is mitigating it✅ Should students have a "minimum daily dose" of AI? (The Sierra Leone 15-hour data point)✅ One-to-one Chromebooks vs shared devices — does the research change the infrastructure conversation?✅ How Google has embedded learning science directly into Gemini's model behaviour✅ Demis Hassabis said we're at "the foothills of the singularity" — what does that actually mean for education?If you're a teacher, school leader, MAT trustee or policymaker trying to make sense of AI in schools right now, this is the interview to watch.📩 My full breakdown of every Google I/O 2026 announcement and what it means for education drops tomorrow in the newsletter — subscribe at aieducator.io🔔 Subscribe for daily AI in education analysis, and tap the bell so you don't miss the follow-ups from I/O week.#GoogleIO #AIinEducation #Gemini #EdTech #GoogleForEducation #AIEducator #FutureOfLearning #TeacherAI #K12 #SchoolLeadership00:00 Welcome from Shoreline Amphitheatre, Google I/O 202600:35 The Sierra Leone RCT: 1.2–1.7 years of learning gains01:46 The Italy & Northern Ireland studies: 70% admin time saved03:00 Reinvesting teacher time — what to do with the hours back03:36 The one Google I/O announcement K–12 principals must see04:42 Going global: 6 Indian languages, the African Union & teacher-led rollout06:00 The cognitive dependency risk — what Google is doing about it07:57 Should there be a "minimum daily dose" of AI for students?09:54 Device strategy: one-to-one Chromebooks vs shared & mobile classrooms11:03 The NotebookLM classroom story — multilingual storybooks in real time12:05 Is Google in an AI arms race for the classroom?12:44 Learning science embedded directly into Gemini's behaviour14:10 The foothills of the singularity — what Demis Hassabis meant for education15:02 Chris's vision: every student gets the teacher relationship they deserve17:00 Where to read the full Google I/O 2026 breakdown Support the show

Send us Fan MailA concise episode for educators on the environmental impact of AI versus other online habits, exploring what actually drives digital carbon footprints and what smarter sustainability conversations in schools should sound like. Support the show

Send us Fan MailA podcast for educators on Microsoft’s Thailand AI-in-education push, exploring teacher time savings, student engagement, responsible AI use, and what large-scale skills programmes really mean for schools. Support the show

Send us Fan MailA podcast for educators on Estonia’s national AI-in-schools strategy, exploring why it is training students to use generative AI, what guardrails matter, and what other systems might learn. Support the show

Send us Fan MailA podcast for educators on why Google I/O matters far beyond model benchmarks, focusing on agentic AI, school devices, smart glasses, Workspace changes, and NotebookLM’s growing classroom impact. Support the show

Send us Fan MailThis episode, I explore why school AI progress is being slowed not by tools or teacher capability, but by leadership, culture, and the redesign of work, drawing on Microsoft’s 2026 Work Trend Index. Support the show

Send us Fan MailA deep dive for educators on Judit Polgar’s warning about AI in schools, exploring passive knowledge, intuition, failure, and why students still need struggle to build real understanding. Support the show

Send us Fan MailA deep dive for educators on the retraction of a widely cited ChatGPT-in-education study, what it reveals about AI hype, and why schools need better evidence, not louder claims. Support the show