AI for Educators Daily with Dan Fitzpatrick

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail  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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail A tech CEO just said the quiet part out loud about AI. Here's what educators need to hear and what he got wrong. The future is knocking.

Send us Fan Mail A Prague school is using AI and maker-based learning to build creativity, resilience, and critical thinking. What can every educator learn from their approach? Let's dive in.

Send us Fan Mail AI didn't break assessment, it exposed what was already broken. We explore Dr Emma Ransome's HEPI blog on why universities must choose trust-based reform over compliance and surveillance.

Send us Fan Mail New research from Nord Anglia Education and Boston College reveals how simple daily thinking routines boost critical thinking, curiosity, and independence - the skills AI can't replicate

Send us Fan Mail The agent era has arrived. In this episode, we explore what January 2026's AI breakthroughs mean for schools, teachers, and the future of education. Are you ready?

Send us Fan Mail Educators worry AI is a bubble. Is it hype like VR and blockchain, or a lasting shift? A grounded reflection on risk, resilience, and why AI in education isn’t disappearing.

Send us Fan Mail How India’s massive education system is reshaping AI in classrooms, teaching Google hard lessons about scale, teachers, access, and learning. Essential insights for educators navigating AI adoption worldwide right now.

Send us Fan Mail China's Ministry of Education now requires AI courses for all primary and secondary students. Third graders learn basics; fifth graders study algorithms. What does this mean for Western schools?