AI in Schools · From Systems for Innovative Schools
AI didn't break your school.It revealed what school was already built on.
Every district is running two projects at once, whether it has named them or not: using AI well today — policy, privacy, classroom practice — and deciding what teaching, learning, and assessment become in a world where intelligent tools are as common as calculators. This site helps you do both, without hype and without panic.
The work
Two jobs. In order. At once.
The enthusiasts sell transformation; the skeptics sell fear. Schools need both jobs done — and neither sold.
Use AI well now
Students and staff are already using these tools. The near-term work is governance that actually governs — board-adoptable policy language, privacy rules a teacher can follow on a Tuesday, and professional learning that meets educators where they are.
Rethink school for an AI world
When a machine can produce the essay, the essay stops proving the learning. That's not a cheating problem — it's a design problem, and it reaches all the way down to what curriculum is for.
Where are you?
Nobody starts with a framework. Everybody starts with a worry.
The eight concerns we hear most from leaders, teachers, and communities. Start with yours — each opens into what the evidence says, what to do first, and the tools that carry the work.
Students are already using AI — and we have no policy.
An AUP update can't govern AI. You need policy that covers automated decisions, vendor data practices, and staff use — not just ChatGPT in the classroom.
Policy & governance →I can't tell anymore what my students actually know.
AI didn’t create a bad assessment system. It revealed a design gap that was always there.
Integrity & assessment →Staff are putting student data into tools we've never vetted.
The riskiest surface isn’t the vendor database — it’s the prompt box. Classify before you type.
Privacy & data →AI could widen the gaps we've spent decades closing.
A double edge: democratized tutoring and differentiation — or encoded bias your district never notices. Equity as audit, not rhetoric.
Equity & access →My teachers range from all-in to opted-out — and both worry me.
The unguided enthusiast and the silent refuser are the same problem: capacity-building that hasn’t happened yet.
Educator capacity →What do students actually need to learn about AI?
AI literacy confined to the CS elective isn’t AI literacy. Eight domains, every grade band, every subject.
Student AI literacy →Our community is split — hype on one side, fear on the other.
The trust gap is measurable, and families are usually furthest from the conversation. Co-creation beats communication.
Family & community trust →If AI can do the work, what is school for?
The bell schedule is a ghost of 1892. AI is the forcing function that finally makes the purpose question unavoidable — and answerable.
The purpose question →Start with a mirror
How ready are you, actually?
A four-minute self-assessment built from our K-12 leadership course: 18 questions across nine domains of school leadership, from governance to building operations. You'll get a profile, a domain-by-domain readout, and concrete next steps for your weakest domain.
No email required to see your results. Nothing you type leaves this page.
Go deeper
A learning path, not a product shelf
Four courses that move in order from "help me use this tool tonight" to "help us redesign what we teach." Start free. Go as deep as your work requires.
AI First Steps for Educators
Practical uses before instructional redesign. Five modules, 4–6 hours, and an AI Starter Portfolio when you finish. The on-ramp, not the destination.
Start Course 1 free →Redesigning Learning & Assessment
Course 2 rebuilds assignments so students do the thinking even when AI is available. Course 2A rebuilds assessment around product, process, and performance evidence. Leader mini-courses run alongside.
See the membership courses →Redesigning the K-12 Curriculum
Twelve modules ending in a collaborative convening and a shared curricular vision. And when your district wants a thinking partner for the whole arc — that's a conversation.
Explore Course 3 →One focused room in a larger house
AI in Schools is written by Stephen Best — implementation scientist, 35+ years across the classroom, University of Michigan research, and Michigan Department of Education policy. Neither an AI enthusiast nor an AI skeptic: an implementer. The systems work, the innovation work, and the ways we might work together live at the hub.