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 Digital Consumers to Digital Pedagogues: A Framework for Moving Teachers from Digital Consumers to Tech-Enabled Pedagogues

In my work with teachers, I’ve seen firsthand a significant challenge that has only accelerated in our tech-saturated world: the gap between how pre-service teachers use technology and their capacity to teach with it. This is the Consumer-to-Pedagogue Gap, and it is one of the most critical hurdles we must overcome in modern teacher preparation and on-going professional development and coaching as they progress forward in their careers.

This post outlines a framework to bridge this gap, moving teacher candidates from passive digital consumers to active, tech-enabled pedagogues. The central thesis is straightforward: we must replace passive observation with a system of structured, low-stakes rehearsal. This over time will improve instruction as well as the use of technology when integrated together.

This system is not built on intuition; it is grounded in established learning science, specifically the Technological Pedagogical Content Knowledge (TPACK) framework and Cognitive Load Theory (CLT). These are the foundational lenses I advocate for in all effective instructional design.

Webinar – Innovative Co-Teaching: Strategies and Tools for the Modern Classroom

Last week, my co-author Dr. Karge and I had the opportunity to share ideas from our book Co-Teaching Evolved in an edWebinar with educators from around the world. It was exciting to dive into the 11 research-backed co-teaching strategies, from One Teach, One Support to Team Teaching, and show how they can flex across grade levels and content areas. This is a fantastic webinar that provides an overarching themes of co-teaching and how to implement some of its strategies across classrooms and schools.

Using AI to Support Interleaving & Spaced Practice and Retrieval in Unit Planning

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 over the long haul. Cognitive science offers a powerful toolkit of strategies to achieve this, and with theContinueContinue reading “Using AI to Support Interleaving & Spaced Practice and Retrieval in Unit Planning”

EdTech Leadership in the Age of AI: What Matters Most When Everything is Changing

My coffee is still warm when the first alert comes in. A teacher cannot access Canvas, and their students are stuck at the login screen. I walk the teacher through the SSO steps, confirm access, and move on. By midmorning, I have visited classrooms, supported teachers with technology integration, and observed lessons to plan follow-up coaching. After that, I sit with our engineers to review system performance, troubleshoot issues, and test several EdTech tools and updates planned for release.

At two o’clock, there are three messages on LinkedIn about a new AI tool that promises to transform learning. I scan one, note the potential and the hype, and return to the work I already committed to do. The afternoon goes to email, planning professional learning, and reviewing the week ahead.

Sound familiar?

For many of us in EdTech and instructional leadership, this mix of strategic and immediate work is the norm. Some hours go to multi-year plans, budgets, and compliance. Others are dedicated to making sure one specific app works for one teacher so students can keep learning. The pace makes it easy to lose focus when the day is packed and many things are going on simultaneously. I return to a single question: how do people learn, and how can instruction and technology work together to support that? If we cannot answer that question, systems, budgets, and tools will have little impact.

This post shares how I connect what we know about learning with the daily realities of leading technology and instructional change in schools. I will describe several major themes and then provide a summary of the next steps to help you further reflect upon your leadership and programs.

5 Ways Agentic AI Can Transform Your Teaching Workflow

What if you had a personalized assistant who knew your school’s handbook, understood your instructional philosophy, and could help you design lessons tailored to your students’ needs? This isn’t a glimpse into a far-off future; it’s the reality of what AI agents can offer teachers today.

Boost Student Learning with Interactive Worked Examples: Thanks to the Canvas Feature in Gemini, ChatGPT, and Claude

Picture this: you can provide interactive, step-by-step worked examples for just about anything – math problems, ELA sentence structures, science processes, you name it. And here’s the best part: you absolutely do not need to be a coding expert to pull this off.

Scaling Instructional Coaching: Overcoming Key Challenges

While the evidence for instructional coaching’s effectiveness is compelling, translating this potential into widespread impact presents significant challenges, particularly when attempting to scale programs across schools or districts. A primary concern, identified by Kraft et al. (2018), is the potential dilution of quality as coaching programs expand. The personalization and strong relationships that underpin effectiveContinueContinue reading “Scaling Instructional Coaching: Overcoming Key Challenges”

Aspire to Lead Podcast Appearance: Revolutionizing Collaboration in Schools Through Inclusion

About a month ago, I had the pleasure of joining the Aspire to Lead podcast to discuss co-teaching and instructional coaching. Episode Description: In this episode of Aspire to Lead, Dr. Matthew Rhoads, author of Co-Teaching Evolved and Crush It from the Start: 25 Tips for Instructional Coaches and Leaders, joins me to explore how artificial intelligence is reshapingContinueContinue reading “Aspire to Lead Podcast Appearance: Revolutionizing Collaboration in Schools Through Inclusion”

New Release! Crush it from the Start: 25 Tips for Instructional Coaches and Leaders

Today marks the release of my new book—a resource designed for instructional coaches, principals, assistant principals, college of education professors, and district office leaders who are committed to transforming teaching and learning in the modern classroom. This book isn’t just about coaching strategies; it’s about understanding the content necessary to navigate education in the ageContinueContinue reading “New Release! Crush it from the Start: 25 Tips for Instructional Coaches and Leaders”

Navigating Education – The Podcast: Ep 77 – The Diffusion of Innovation and Instructional Coaching

Everett Rogers’ Diffusion of Innovation theory is a compelling framework for understanding how new ideas and technologies spread through organizational cultures. Essentially, it outlines a process where innovations move through a series of adopter categories—from innovators to laggards—each with unique characteristics that influence their acceptance of change. This theory isn’t just academic; it’s a practicalContinueContinue reading “Navigating Education – The Podcast: Ep 77 – The Diffusion of Innovation and Instructional Coaching”

How Data, Decision-Making, and AI Can Future-Proof Your Organization

In 2019, I wrote my dissertation on data literacy and data-driven decision-making, believing these concepts were critical for leaders in education and beyond. At the time, however, it felt like the conversation was ahead of its time. The tools and frameworks for analyzing data were still cumbersome for most, and AI advancements—while promising—had yet toContinueContinue reading “How Data, Decision-Making, and AI Can Future-Proof Your Organization”