I've been doing some new workshops and keynotes you may be interested in!
Something is happening in education right now that should make every serious person uncomfortable.
One of the things I keep reminding myself as I write LEARNING 3.0 is that the future isn't coming. It's already here.
Let me start with what is actually happening, because the gap between the theoretical promise of AI in education and the on-the-ground reality of AI in education is currently very large.
Over 20 folks are already registered for Cohort 2 in June. Register you, or your team, now and join the highly rated certification program!
This is one of the most robust findings in the science of learning, and it has been replicated across hundreds of studies, across decades, across virtually every domain of knowledge and every population of learners.
What has changed, in the past several years, is the capacity to read that data in real time, at the level of the individual learner, and use what it reveals to shape what happens next. This is the specific capability that separates Learning 3.0 from everything that came before it.
Every few thousand years, humanity figures out a completely new way to learn. This has nothing to do with a better textbook. It’s not about a new teaching method. Not an updated curriculum framework. It is something more fundamental than any of those.
So, what about Learning? How, like humanity itself, is it going to be impacted by an AI future...and what can we learn from how humans have responded in a short time to this new technology?
So if we're designing conditions rather than learning itself, what conditions are worth designing? Research suggests several that are particularly powerful.
We created this site/application during my recent “AI-Ready School Leaders Certification Program” Cohort using Claude Code and Replit.
When you look closely at the science of learning (constructivism, cognitive psychology, and social learning theory) you realize something that most effective learning experiences were already AI-resistant.
The Science of Learning & Performance gives your coaching staff access to proven methods, expert webinars, and a community that elevates results.
Teachers don't get a halftime, but we can build one. And the research says it might be the most important skill we’re not developing.
If you walk into any gym or field during practice and you'll notice something that rarely happens in a classroom — every single athlete is working. Not because they're afraid of getting benched, but because the coach has created conditions where effort feels purposeful and feedback/progress is constant. And the research says it translates directly to the classroom.
In this article I want to break down how to get started with Claude, where you can use it with a purpose, and why I love this as my “everyday AI tool” (and I’m someone who uses them all, or at least tries the majority of tools out there).
In this video, I discuss the concept of continuous partial attention and its effects on students. I highlight the challenges of learning in a world of constant distractions and emphasize the importance of focus. I also explore how social media and smartphones have contributed to the rise in mental health issues among young people. Finally, I address the use of artificial intelligence in education and its potential impact on student learning.
Over 7 years ago I first posed this question in a Youtube Video you can watch below. I had recently lost my brother to cancer, and was wrestling with all the ways he impacted my life and changed my mindset on learning and leading.
This Cohort goes from Feb 17—Mar 10, 2026. We’ll meet LIVE on Tuesday’s from 3:30pm-5pm EST. If you can’t make a Live Session, no worries, they will be recorded and uploaded to watch.
A very unscientific but wildly useful guide for teachers, coaches, and school leaders.
We’ve got folks signing up from all over the country (and world) ready to cut the noise, stop wasting time, and get up to speed on AI and how it is impacting our work right now (and of course in the future).
This Cohort is designed for multiple levels. If you're just starting with AI, watch the foundational modules on AI fundamentals. If you're already comfortable using ChatGPT, Claude, or Gemini, you can skip straight to the AI-Ready Leadership modules.
This article builds on the wildfire metaphor developed by Dion Lim in his essay "The AI Wildfire Is Coming. It's Going to Be Very Painful and Incredibly Healthy", published in CEO Dinner Insights. While Lim applies the framework to Silicon Valley startups and the AI industry, the patterns he looks at (flammable brush, fire-retardant giants, resprouters, and fire followers) translate powerfully to K-12 education.
Every June, we send thousands of kids out into the world armed with the Pythagorean theorem and exactly zero knowledge about how to cook rice. We've taught them to analyze symbolism in The Great Gatsby but not how to tell when someone's scamming them. So here's my list of 100 things students actually need to know before they grab that diploma and run.
I'm over here raising my hand saying, "I've been part of this problem" as a teacher, school leader, and even as a parent.
