Two Roads: What China and the U.S. Are Actually Doing With AI in Schools

A side-by-side reading of primary-source AI-in-education policy from both countries reveals a structural difference with real consequences for practice: China has a binding K-9 AI curriculum standard, prescriptive classroom guardrails, and explicit rural-equity funding. The U.S. has a state patchwork and federal encouragement. Both bets are uncertain. Both could learn from the other.

Every Student Will Have AI Agents Sooner Than Later: The Question Is Whether Schools Will Be Ready

The shift is not coming. It is already underway and the pace is about to accelerate beyond what most educators are prepared for. A few weeks ago, I published a piece about how I built a personalized study system using Claude and the principles of the science of learning : retrieval practice, spaced practice, interleaving,ContinueContinue reading “Every Student Will Have AI Agents Sooner Than Later: The Question Is Whether Schools Will Be Ready”

Graze and Tag: The Most Underrated Strategy in Your Co-Teaching Toolkit

It was third period of 11th-grade American Literature. My co-teacher had just introduced the closing image of The Great Gatsby chapter 1, the moment Gatsby stretches his arms toward the green light at the end of Daisy’s dock, and I started walking around the room. Two minutes in, I noticed students were paraphrasing the language but missing what the green light was actually doing in the chapter. Without missing a beat, I stepped back to the front, took the marker from my partner, and said, “Hold on. Before we go further, let’s unpack what that green light is doing here.” He moved into the room to circulate.

We had just executed Graze and Tag, and we had not planned for it that morning. That fluidity of this co-teaching strategy is the magic of this strategy. It may also be the most undervalued tool in your co-teaching toolkit.

Build Your Own EdTech: Why the Future is Local

Think back to 2023, 2024, and 2025, the EdTech market was flooded with what we now affectionately call “AI wrappers.” These were sleek at first sight, user-friendly web apps that essentially put a nice interface over a standard API call to generate lesson plans, differentiated reading passages, worksheets, and quizzes for the classroom. They felt magical at first, but they came with subscription costs, heavy enterprise costs for districts and schools, and lingering questions about student data privacy. Fast forward to today, and the script is entirely flipping. We are entering an era where the power to build, run, and maintain these tools is shifting directly into the hands of teachers and schools, and it is all happening locally.

How to Use NotebookLM to Conduct Smarter WASC Accreditation Reviews and Visits

Over the past year, I have integrated Google’s NotebookLM into my WASC review workflow, and the results have fundamentally changed how I prepare, analyze, and report before, during, and after my visits. This is not a post about replacing professional judgment: it is about amplifying it. What follows is the process I now use, phase by phase, to conduct reviews that are more evidence-grounded, more analytically rigorous, and ultimately more useful to the schools I serve.

NotebookLM as Your School’s Brain: A Mission Control for Leaders Who Are Serious About Improvement

πŸ“¬ Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe Most schools do not have a data problem. They have a synthesis problem of putting it all together in one location. The attendance reports live in one system. The benchmark assessments live in another. The LCAP goals areContinueContinue reading “NotebookLM as Your School’s Brain: A Mission Control for Leaders Who Are Serious About Improvement”

From the Moon to the Mind: How Space Exploration Illuminates Learning

πŸ“¬ Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe “That’s one small step for man, one giant leap for mankind.” β€” Neil Armstrong (1969) The Mission Control Mindset Picture a professional development session where teachers design instruction the way NASA engineers design a mission. The stakes areContinueContinue reading “From the Moon to the Mind: How Space Exploration Illuminates Learning”

Autonomous AI and (the Possible Future of AI in Schools): OpenClaw and Autonomous AI Agents

Over the last week, I have played extensively with Clawdbot, now aka Moltbot. Seeing AI that is THIS autonomous, and the work it has done has been mind-blowing. I have built numerous applications and have several tasks and projects that will be delivered to me daily. From research to applications ready to be delivered on my GitHub. Wow! In my opinion, this is where AI comes alive and goes outside the box.

Holding Two Truths: Education, Evidence, and Fatherhood

As I prepare to become a father, my view of education is shifting. What will I hold onto and what will change when learning becomes personal? A reflection on time, empathy, evidence, and raising a learner in a complex system.

Creating Examples vs. Non Examples Using Nano Banana Pro on Gemini 3 to Amplify Instruction

Learning abstract concepts is difficult because our students are beginners in many cases. This means they primarily understand new ideas in the context of what they already know, which is usually concrete. To build a robust “schema” (a mental structure of organized knowledge), students need more than a definition; they need to see the concept in action through examples vs. non examples. With this said, it is now ever been easier to create examples vs. non examples using Gemini’s Nano Banana Pro image generator that is associated with Gemini 3. In this post, you’ll see how to do this to support your instruction.