Articles, videos, podcasts, and toolkits we’re reading, sharing, and building on as we navigate AI in education alongside schools.
How AI actually works — accessible explainers and forward-looking projections for educators and leaders.
A clear, visual foundation for understanding how machine learning works — how computers learn to recognize and interpret images.
A long but rewarding deep-dive into the science of large language models. The best technical explainer we’ve found for non-engineers.
A scenario-based projection of where AI is headed by 2027 — a useful frame for thinking about the pace and stakes of change in schools.
An audio conversation with the authors of the AI 2027 report — a more accessible entry point than reading the full document.
An accessible look at the neurological and cognitive effects of using AI tools — what the early research is showing about learning and thinking.
What is school for? What comes next? These pieces help us level-set on purpose before we talk about tools.
A wide-ranging conversation on what schools will need to become — and why the current model may not survive the AI transition intact.
Still one of the best starting points for a conversation about the purpose of school. Funny, sharp, and as relevant as ever.
Linda Darling-Hammond on why incremental change won’t be enough — and what redesigned schools could actually look like.
Survey of 90,000+ international business leaders projecting the world of work in five years. Essential context for rethinking school-to-career pathways.
A candid look at the gap between the pace of AI change and the pace of school system response.
New research on which human capacities are growing in value as AI automates more technical work — with implications for how we design learning.
Not a research paper — but a useful provocation for conversations about what over-reliance on technology could mean for human agency and purpose.
A framework for identifying and cultivating the distinctly human competencies schools should be building for an AI-infused future.
What teachers are experiencing, what they need, and what training actually looks like on the ground.
A ground-level look at how teachers are encountering AI tools in their schools — often without support, training, or clear expectations.
Results of a teacher assessment across four AI skill areas — with a clear picture of where the gaps are widest.
An honest look at the gap between what professional development is offering and what teachers actually need to move forward with AI.
A candid conversation about the pace of change heading toward schools — and what educators can do to prepare now rather than react later.
A frank, unfiltered teacher perspective on what’s actually happening with AI in classrooms right now — before policy has caught up.
Frameworks, trackers, and guides for building the governance structures schools need to navigate AI responsibly.
A live tracker of AI policies across districts and states — useful for benchmarking and understanding what others are doing.
MIT’s practical guide for school leaders on navigating AI — from foundational understanding to implementation considerations.
A step-by-step walkthrough of what a school AI policy should address — with examples and decision-making frameworks.
UNESCO’s framework for defining what AI competency looks like for educators — a useful reference for professional development planning.
Guidelines for AI rollout in school districts with links to exemplars and equity-centered examples. A practical starting point for leadership teams.
A decision-making rubric and process guide for designing and implementing AI use guidelines in school communities.
Centering the people most impacted — and building AI approaches that are both just and durable.
On crowdsourcing wisdom from educators through equity-centered design — a model for how schools can build AI approaches with teachers, not for them.
Ongoing writing at the intersection of liberatory design, equity, and education. One of the most thoughtful voices on centering communities in change work.
OECD’s analysis of how AI could widen or close equity gaps in education — depending entirely on how it’s designed and deployed.
A real-world example of a school network using AI purposefully to improve instruction — useful for leaders looking for concrete implementation models.
On designing curriculum that deliberately builds the capacities AI can’t replicate — creativity, judgment, empathy, and complex reasoning.
A practical guide for helping teachers move past fear and resistance — starting with a playful exploration of how AI can lighten their workload before transforming the classroom.
More posts from the Holonomy team coming soon.