About

A career spent learning why good ideas fail in schools

Teacher, researcher, curriculum designer, state education director — thirty-five years working the same question at every level of the education system.

Stephen Best's career doesn't move in a straight line — it spirals. He keeps returning to the same two questions (What makes learning genuinely transformative? Why do good innovations fail to spread?) at increasing levels of scale: first as a teacher, then as a researcher, then as a state policy leader, and now as a consultant who synthesizes all three.

He became a teacher because, as he puts it, teachers were his heroes. A restless early posting led him to Hawaii, where a science teacher asked him to take over the school's solar car team. For the next year, the project consumed every spare hour. Students designed and built a solar-powered vehicle, then drove it across North America in 1993 — becoming the first team to complete that crossing entirely under solar power, beating university teams, corporate sponsors, and manufacturers including General Motors along the way.

What the students really built wasn't the car. It was the capacity to work under pressure, solve problems with no textbook answer, and execute something genuinely ambitious. That gap — between what school usually is and what he'd just watched school become — has shaped everything he's done since.

From there, his path moved into research: the GREEN watershed program, Science in the City, and work through the University of Michigan's Center for Highly Interactive Computing in Education, including early mobile-learning work with GoKnow, years before smartphones made that idea mainstream. He holds master's degrees in Education and Urban Planning from the University of Michigan — a pairing that reflects the same underlying interest: how designed systems shape human behavior, whether the system is a city or a school district.

That research-and-practice bridge eventually led him into state government, where he served as Director of Strategic Planning and Implementation at the Michigan Department of Education (and earlier as Assistant Director of the Office of Educational Improvement). There he developed Michigan's first statewide school technology plan, helped build MICIP, and supported district-level school improvement work — including turnaround efforts where four of five supported schools moved from the state's bottom 5% to reward-school status. He also navigated the politically fraught adoption of Michigan's science and social studies standards during the Common Core backlash, working across party lines with legislators to get evidence-based standards through.

Today, through Systems for Innovative Schools, Stephen works across four connected domains: systems implementation support for K-12 districts, innovation work including a partnership with What Schools Could Be and the Multiple Choice documentary network, AI-in-education curriculum and implementation support, and policy support for Michigan's early childhood systems. He positions himself not primarily as an innovator, but as an implementation scientist — someone who has built genuine expertise in why good ideas stall, and what it takes to make them survive contact with a real school system.

The through-line

The systems I've worked in

Every level of the education system breaks down at a different point. Having worked inside each one is what makes the transitions between them visible.

The classroom

Science teacher and solar car team advisor — where I watched students do work no textbook could have taught them, and set the question I've chased ever since.

The research university

University of Michigan — the GREEN watershed program, Science in the City, and mobile-learning research years before smartphones made the idea mainstream.

The state agency

Michigan Department of Education — MICIP, the state's first school technology plan, standards adoption across party lines, and school turnaround support.

Districts and schools

Through S4IS — where all of it converges: helping district teams build the systems that carry improvement, innovation, and AI-readiness past the launch.

The question behind all of it

What would it take for genuinely transformative learning to be normal, not exceptional? If your district is working on that question too, let's talk.

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