A deep dive into new research on AI and feedback loops in education, exploring how generative AI reshapes student revision, feedback quality, and what meaningful improvement really looks like.

A deep dive into New York City’s official AI guidance for schools, exploring governance, risk boundaries, and what system-level AI strategy really looks like at scale in education.

A deep dive into new research on AI and teacher workload, exploring whether AI actually saves time, what tasks it changes, and why workload reduction is more complex than expected.

A deep dive into a research article on AI in education exploring how generative tools reshape student thinking, challenge assessment models, and redefine what it means to learn.

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.

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.

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.

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.

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.

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.