AI for Educators Daily with Dan Fitzpatrick

Send us Fan Mail A deep dive into a Guardian feature on AI counselors in schools, exploring student trust in chatbots, mental health risks, and what this shift reveals about relationships in education.

Send us Fan Mail A deep dive into a Guardian investigation on AI school counselors , exploring how chatbot therapy tools affect student mental health, engagement, and human connection in education.

Send us Fan Mail A deep dive into a landmark study on AI tutors using reinforcement learning, showing how adaptive problem sequencing—not chatbots—drives engagement and delivers up to 9 months of additional learning.

Send us Fan Mail A deep dive into a groundbreaking Nature study showing how a simulated fly brain predicts behaviour, revealing powerful lessons about AI, modelling, and what learning really means.

Send us Fan Mail A deep dive into a major NBER study on AI-powered personalization in education , revealing how algorithms boost engagement, why effects grow at scale, and what this means for teaching.

Send us Fan Mail A deep dive into Anthropic’s global study of 80,000 AI users revealing what people truly want from AI, what they fear, and what it means for learning and education.

Send us Fan Mail A deep dive into an article from Solutions Review arguing that peer learning groups may outperform universities in the AI era by enabling faster skill development, contextual knowledge sharing, and real-world accountability.

Send us Fan Mail A deep dive into Pearson research analyzing 79 million student interactions to explore how AI-powered study tools embedded in textbooks can shift learners from passive reading toward active learning behaviors.

Send us Fan Mail A deep dive into a Conversation article exploring how generative AI can empower families to co-create culturally meaningful early learning materials and strengthen relationships in early childhood education.

Send us Fan Mail A deep dive into the 2026 HEPI Student Generative AI Survey revealing near-universal student AI use, shifting assessment practices, and what the data really says about learning, dependence and opportunity.

Send us Fan Mail A deep dive into Catherine Lawler’s 2026 study showing how direct interaction with generative AI can significantly increase undergraduate critical thinking through experiential learning and structured evaluation tasks.

Send us Fan Mail 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.

Send us Fan Mail 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.

Send us Fan Mail 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.

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.