Claim OwnershipAI for Educators Daily with Dan Fitzpatrick
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© Dan Fitzpatrick, The AI Educator
Description
Hey, I'm Dan, The AI Educator.
I know that we both care deeply about the state of education, amid the uncertainty of rapidly advancing AI. I work with leading schools and governments worldwide to help them strategise and build capability, and I have recently been recognised as a top voice on AI. While most teachers are aware of the influence of AI on education and student learning, many are unsure how to respond in practice.
My mission is to amplify credible expert insight and give educators the clarity, confidence, and tools they need to teach effectively and prepare students.
I know that we both care deeply about the state of education, amid the uncertainty of rapidly advancing AI. I work with leading schools and governments worldwide to help them strategise and build capability, and I have recently been recognised as a top voice on AI. While most teachers are aware of the influence of AI on education and student learning, many are unsure how to respond in practice.
My mission is to amplify credible expert insight and give educators the clarity, confidence, and tools they need to teach effectively and prepare students.
240 Episodes
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A deep dive into the Stanford Social Innovation Review article arguing that in the age of AI, the most important human skill isn’t artificial intelligence—but relational intelligence.
A deep dive into the Inside Higher Ed article about “Einstein,” an agentic AI that can complete entire courses for students, and what it reveals about the future of assessment and credentials.
A deep dive into the New York Times article on Chinese parents using AI for homework, exploring cultural attitudes to AI in education and what it reveals about the future of learning.
A deep dive into Peter C. Baker’s Guardian article about teaching English in the age of AI, exploring classroom cheating fears, student thinking, and why uncertainty may define teaching with AI.
Deep dive into OpenAI’s 2026 article on measuring AI learning outcomes, exploring the new Learning Outcomes Measurement Suite and what it reveals about AI tutoring, metacognition, and the future of assessment.
A deep dive into the NBER Working Paper “Does Generative AI Narrow Education-Based Productivity Gaps?”—a randomized experiment showing AI dramatically compresses education-based performance gaps without eliminating skill differences.
A deep dive into “Bridging the Skills Gap: A Course Model for Modern Generative AI Education” (AAAI-26), exploring how one university taught applied AI fluency—and what schools must learn from it.
A deep dive into the OECD Digital Education Outlook 2026 on generative AI in education—examining learning gains, cognitive risks, teacher autonomy, and what “effective use” really means for schools.
A deep dive into “Evolution of AI in Education: Agentic Workflows,” exploring reflection, planning, tool-use, and multi-agent systems—and what agentic AI really means for classrooms and leadership.
Anthropic’s 2026 AI Fluency Index reveals how people actually collaborate with AI. We unpack iteration, evaluation, and the “artifact effect”—and what it means for educators shaping AI-literate classrooms.
A deep dive into Google DeepMind’s “Towards Responsible Development of Generative AI for Education,” unpacking LearnLM-Tutor, pedagogical benchmarks, participatory design, and what evaluation-driven AI means for schools.
A deep dive into “Learning to Use AI for Learning” from Carnegie Mellon and collaborators, exploring K-12 prompting literacy, AI auto-grading accuracy, and what responsible AI use really means in schools.
A deep dive into a LAK26 study on a pedagogical AI essay assistant at UCL, exploring how student interaction patterns with AI shape writing quality and what this means for classroom practice.
A deep dive into the FLoRA Engine research paper, exploring Hybrid Human-AI Regulated Learning, adaptive SRL scaffolding, and what this means for AI strategy in schools and universities.
A deep dive into Shaw and Nave’s Tri-System Theory paper from Wharton, exploring “cognitive surrender,” AI as System 3, and what this means for thinking, autonomy, and classroom practice.
Is AI finally showing up in real productivity data? We unpack the AI Daily Brief’s analysis of US labor stats and explore what an AI productivity boom could mean for schools.
Join the waitlist for the new AI Educator Tools ecosystem launching very soon!Google DeepMind's new research on AI delegation reveals powerful lessons for education, from assessment design to de-skilling risks. We explore what intelligent AI delegation means for schools, teachers, and the future of learning.
A deep dive into “Solve Everything” by Wissner-Gross and Diamandis, exploring AI, abundance, and what an intelligence revolution means for schools, assessment, and the future of education.
Click here to join The AI Educator tools waitlist.The US Department of Labor just released its AI Literacy Framework. Five content areas. Seven delivery principles. Here's what it really means for schools and why educators need to pay attention now.
What do the four factors of production, a frustration diary, and an AI entourage have in common? Lessons from a talk to young women in the UAE about thriving in the intelligence age.
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