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.
Tag Archives: data
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”
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.
NotebookLM as Your School’s Brain: A Mission Control for Leaders Who Are Serious About Improvement
📬 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”
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.
From the Sidelines to the Shoulder: Using Co-Teaching as the Engine for Instructional Coaching
The Gradual Release of Responsibility (“I do, We do, You do”) is a powerful framework for instructional coaching, and it can be delivered directly through co-teaching strategies. Instead of a coach modeling and then simply observing, the crucial “We do” phase becomes a hands-on, collaborative partnership. This post explores how to use specific co-teaching models as the bridge from “I do” to “You do.” I share a single-session example of supporting a teacher with multilingual learners, moving from my “I do” (model) to our “We do” (“Team Teaching”) and finally to their “You do” (with me in a “One Teach, One Support” role), all within a single lesson.
AI Agent Advancements: Google Lens (aka Homework Helper) and Comet Browser
As educators, we’ve navigated the shift from chalkboards to smartboards, from calculators to laptops. But the change barreling towards us now is different. It’s not just a new tool; it’s a new kind of actor in the learning process. I’m talking about AI-powered tools like Google Lens and the emerging class of AI-agent browsers, such as Perplexity’s Comet Browser. These technologies are fundamentally reshaping what it means to “do work” and forcing us to confront a critical reality: we can no longer guarantee the authenticity of any work done outside our direct supervision. As a result, what does this mean for asynchronous online learning and completing graded work outside of traditional in-person classes?
Using AI to Support Interleaving & Spaced Practice and Retrieval in Unit Planning
📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe As teachers, we are constantly seeking ways to make learning more durable and meaningful for our students. We want them to not just memorize facts for a test, but to fully understand and retain what they’ve learned overContinueContinue reading “Using AI to Support Interleaving & Spaced Practice and Retrieval in Unit Planning”