Using AI to Build Powerful Retrieval Practice Activities to Supercharge Student Learning Opportunities

The “testing effect,” a term championed by researchers like Roediger and Karpicke, demonstrates that every time a student actively recalls information, they strengthen the neural pathways associated with it. This effortful retrieval tells the brain that the information is important and makes it easier to access in the future. Ultimately, over time, if students are able to actively recall correctly, this means they likelihood of them learning the content, is much higher. Although the challenge for teachers has always been the time it takes to create a rich variety of material, such as flashcards, practice tests, and quizzes, that facilitate this process.

With powerful AI tools, we can now create engaging, interactive retrieval practice activities in minutes. Tools like Gemini, Claude, and ChatGPT have built-in “Canvas” features that can generate the code for these resources, and you don’t need to be a coding expert to use them.

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.

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

📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe 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 theContinueContinue reading “Aspire to Lead Podcast Appearance: Revolutionizing Collaboration in Schools Through Inclusion”

AI Agents: The Future of School Leadership

📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe The deployment of AI Agents has the potential to greatly impact school leadership. These autonomous software systems, capable of perceiving their environment, making decisions, and executing actions independently, will have the opportunity to redefine the role of educationalContinueContinue reading “AI Agents: The Future of School Leadership”

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

📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe 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 bookContinueContinue reading “New Release! Crush it from the Start: 25 Tips for Instructional Coaches and Leaders”

The Death of the LMS in Higher Ed: How AI Agents May Make the Traditional LMS Learning Obsolete in the Near Future

📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe The rise of AI-powered agents like Operator (and many more) will drastically reshape how higher education delivers courses online, making traditional Learning Management Systems (LMS) increasingly irrelevant if safeguards are not created. As students gain access to AIContinueContinue reading “The Death of the LMS in Higher Ed: How AI Agents May Make the Traditional LMS Learning Obsolete in the Near Future”

The Rise of In-House AI Built Learning Applications: Are School Districts Going to Begin Moving Away from SaaS EdTech Tools?

For years, school districts have relied on software-as-a-service (SaaS) solutions for everything from learning management systems (LMS) to assessment tools, student information systems, communication platforms, and assessment tools. However, the rapid evolution of artificial intelligence (AI)—especially with newer, more powerful models—may signal a shift in how schools approach utilizing EdTech and leveraging teacher expertise and funds to create their own in-house apps to meet their needs.

Proving Our Impact: How Instructional Coaches Can Use Regression Analysis to Demonstrate Their Value

📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe Recently, my PLN colleague Roxi Thompson posed some compelling questions on LinkedIn: How do you collect data to demonstrate the impact of your coaching program? What methods have you found effective, especially in showing improvement in areas likeContinueContinue reading “Proving Our Impact: How Instructional Coaches Can Use Regression Analysis to Demonstrate Their Value”

CoTeaching Evolved – Released Today

📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe On October 11th, 2024, “Co-Teaching Evolved“ hit the shelves, offering a revitalized approach to co-teaching that speaks to today’s educators and students alike. As classrooms grow increasingly diverse and technology continues to reshape education, traditional co-teaching strategies needContinueContinue reading “CoTeaching Evolved – Released Today”