Rebuilding the Education Blueprint: How to Turn Innovation into a Shared Strategy
Part two of two. Visit here for part one.
To recap the first part of my notes on education in the making, I talked about why the old model of learning has to prove itself again, and why so few of us have the AI playbook figured out yet. Today I want to talk about what's actually happening while we wait for that playbook: everyone is building at once, but how many of those plays become standards that we can all employ?
Learners are experimenting with AI tutors and study tools faster than most institutions can write a policy about them. Faculty are quietly testing new ways to teach, grade, and give feedback. Institutions are piloting programs, partnerships, and platforms. System administrators are trying to keep all of it secure, compliant, and standing upright. These are all valid challenges and approaches, much happening without permission, and valuable IF they all lead to an end goal in which all parties feel like they know how their roles play within it.
That's exactly what this moment calls for. When the ground is genuinely shifting, you don't want everyone waiting for a memo. You want people testing, failing fast, and learning in public. That instinct is healthy. It's what real innovation looks like from the inside, messy, uneven, and a little chaotic.
But it can't stay unstructured forever
Why experimentation needs direction
To my earlier point, experimentation without direction turns into fragmentation.
Here's the risk. Every learner, classroom, and institution figuring this out on its own, with no shared reference point, eventually stops looking like innovation and starts looking like drift. One school's AI policy contradicts the school down the road. One professor's approach to AI-assisted writing has nothing to do with the approach one floor up. Learners move between these environments and get a different set of rules every time. That's not agility. That's fragmentation wearing agility's clothes.
Let’s continue to experiment, let’s learn, unlearn, and relearn. But, we have to keep our eyes on the horizon, and that’s to start building consensus around what's actually working, and turn that into a roadmap the whole field can use. Yes, there will be outliers, and nuance depending on the sector. But, it’s the formation of the backbone of the new learning model that allows for nuance, not for wide variation. We need action and we need it today.
That takes all four groups in the room together: learners, who know firsthand what helps them learn; educators, who know what holds up in front of a real class; institution/organization leadership, who have to think about outcomes and accreditation and trust; and system administrators, who have to make sure whatever gets built is actually secure and sustainable at scale.
Where the roadmap gets built
This is exactly why InstructureCon exists, and exactly why this year's theme, "Education in the Making," isn't just a clever line. It's a description of the work. More than 200 sessions, workshops, and meetups will bring together the people actually doing this work: testing, comparing notes, and figuring out what's real versus what's just noise.
My ask is simple. Come to be inspired. But, also come to compare what you're testing against what a thousand other people in the room are testing, and leave with a clearer sense of where the field is actually heading, not just where your institution is headed alone.
"Education in the making" isn't a slogan we picked because it sounded good. It's the honest state of things right now. The system is being rebuilt while we're standing inside it, by learners, educators, institutions, and administrators who are all, in their own way, refusing to wait for permission.
The next stage of that rebuild doesn't have to be built by any one of us alone. Let's build it together, starting in Louisville.
