Introducing Generative Practice: A Report from The School Teams AI Collaborative

Conversations about AI in education are everywhere—full of both excitement and concern. But while speculation dominates the headlines, one critical voice has been missing: the educators actually using AI with students.

That’s why we launched the School Teams AI Collaborative with FullScale nearly a year ago, bringing together more than 80 educators across 19 schools to test, reflect, and share how generative AI is showing up in classrooms. Our new report, Generative Practice: Practical Insights for Unlocking the Instructional Potential of AI, captures what we discovered.

What We Found

• Teachers are leading responsibly and using AI to generate real instructional value. Educators are using AI to give richer feedback, differentiate learning, and save time for what matters most: relationships and instruction.
• Students are engaging with real-world, future-ready content in new ways. Learners who were once hesitant are revising their work, asking new questions, and even challenging AI’s responses. While many are concerned about the risks associated with AI, it offers legitimate opportunities for more relevant and student-directed learning.
• Conditions matter for solutions to iterate and scale. Creating a safe space for educators to experiment, learn from each other, and get coaching was core to our project so that educators could drive how technology gets shaped and used. That’s an important place to start. At the same time, leap-level change requires supportive policies, professional learning, and infrastructure to help promising practices spread with intention across a system.

AI isn’t here to save education. Great educators are here to drive education, and AI is a tool to help them do that.” — Zach Kennelly, DSST Public Schools

What this means for the future of our work

Generative Practice is not an endpoint. It’s a foundation. Here’s how the learning is already shaping our next steps:

1. Leveraging AI in curriculum implementation: We are piloting curriculum-based professional learning and coaching approaches that integrate HQIM-specific AI tools and routines for math, and we are in the early stages of developing similar supports for ELA.
2. Developing solutions for a variety of contexts and spheres of influence: We recently launched a new collaborative focused on rural schools, testing how these lessons translate in contexts where resources and access look very different. As we build upon lessons learned from the School Teams AI Collaborative, we are also exploring opportunities to build the capacity of system leaders who have greater influence over the conditions for learning innovation. More to come soon!
3. Future-ready leading and learning: This summer, we tested new approaches to teaching and learning that foreground durable skills, student agency, and leveraging AI.

Across these efforts, we are gathering early signals that will inform how professional learning systems, educator supports, and student learning experiences evolve for an AI-enabled world so that the field is prepared not just for what’s now but what’s next.

Stay engaged

This is only the beginning. The question is no longer if AI will shape education, but who will shape its use and to what end. We believe the future must be practitioner-led, opportunity-centered, and relentlessly focused on better learning outcomes for students.

• Read the full report.
• Dig into problems of practice and emergent strategies that show promise.

Stay connected as we share more insights, stories, and opportunities to shape AI in education together.