AI is rapidly changing how teaching and learning happen, from classroom planning to student

engagement, and it gives us a chance to rethink the system itself.

At FullScale, our goal is to ensure that education leaders have a shared vision and practical tools to guide this transformation. We’re focused on helping schools and systems use AI not simply to automate tasks, but to enhance the human elements of learning — agency, creativity, social connection, and critical thinking.

By working alongside educators, policymakers, and innovators, we’re building the understanding and conditions needed for AI to strengthen teaching, deepen learning, and create lasting impact for students.

Our Vision

We see a future where technology and human ingenuity work together to create learning systems that are more adaptive, connected, and student-centered than ever before.

In this future, AI supports teachers as designers of powerful learning experiences, helps students take greater ownership of their learning, and gives education leaders real-time insights to improve outcomes for all learners.

Reaching that future will take more than new tools. It will require intentional design, shared vision, and coordinated action across classrooms, schools, and systems. That’s the work FullScale is leading alongside our partners: learning with the field, generating evidence, and helping build the policies and practices that turn possibility into reality.

Our Approach

We learn alongside the schools, systems, and networks that are already leading innovation in real time. Across this work, our role is to help connect what’s happening on the ground to the broader systems and policies that shape what’s possible.

Through partnerships at every level, we’re identifying what it takes to make AI work for teaching and learning:

• In classrooms and schools, we supported educators through the School Teams AI Collaborative to design, test, and measure AI-integrated instructional practices.
• Within systems, we’re helping state and local education agency leaders align guidance, policy, funding, and action through our Starting Smart Guides and Coordinated Action Recommendations.
• Across systems, we’re building evidence through programs like our Exponential Learning Initiative, studying high-quality virtual and hybrid schools that demonstrate what effective, tech-enabled learning looks like at scale.

Together, this work is helping the field move from isolated pilots to coordinated progress — creating shared language, strategies, and evidence that can guide the sector forward.

Driving Change: A Two-Pronged Strategy

The pace of innovation in AI can feel overwhelming. Schools and systems need to act quickly, but they also need to act wisely. FullScale helps education leaders balance both — taking the next smart step while keeping sight of the bigger picture. Our work follows a two-part strategy

Wayfinding to Solve Urgent Challenges: We help schools and systems take practical, responsible steps to explore AI’s potential. This includes clarifying instructional expectations, protecting student data, building educator confidence, and expanding equitable access to tools and support. Starting smart means building trust, alignment, and capacity before scaling change.

Driving Future Transformation: At the same time, we’re helping leaders design for transformation. That means aligning policy, professional learning, and measurement systems so AI drives instructional improvement rather than simple efficiency. Through our frameworks and partnerships, we focus on four levers of system-wide change: Vision & Instruction, Capacity & Readiness, Measurement & Evidence, and Access & Inclusion.

Together, these two approaches ensure that AI integration supports the immediate needs of educators while laying the foundation for long-term, student-centered transformation.

Resources We’ve Built

Our AI work has produced a connected set of research, frameworks, and tools designed to help the field move from isolated pilots to coordinated, system-wide transformation. Each resource reflects what we’ve learned with partners across schools, systems, and states — and offers practical guidance for those leading the next phase of AI integration in education.

From Urgent to Future: Charting a Course for AI in K–12 Education

This paper articulates a vision for how education leaders can move from rapid response toward long-term, student-centered transformation. It outlines how AI can strengthen teaching, deepen learning, and evolve systems, offering clear strategies for aligning practice, policy, and evidence.

AI Policy Landscape Scan: Understanding the Field’s Early Response

This national scan reviews emerging AI policies and guidance from states and districts, identifying early patterns and gaps. It provides a snapshot of where the field stood when we began this work— where coherence was still forming, and where shared vision and capacity were still needed.

Charting a Course for AI in K–12 Education: Recommendations for Coordinated Action

This report outlines concrete steps for state and district leaders to build alignment and capacity across systems. It identifies four coordinated levers — Vision & Instruction, Capacity & Readiness, Measurement & Evidence, and Access & Inclusion — that can help the field bridge urgent action with future transformation.

Generative Practice: Early Lessons from the School Teams AI Collaborative

Drawing on work with school-based teams across the country, this report captures early lessons about how educators are designing and testing AI-integrated instructional practices. It highlights examples of how teachers used AI to enhance feedback, creativity, and engagement — and the leadership supports that made those efforts successful.

Building the Conditions for Responsible AI Use

A Problem of Practice for system leaders on how to establish the governance, professional learning, and operational conditions that enable AI to be used powerfully, equitably, and responsibly in schools.

Implementing Generative AI Tools in Teaching and Learning

A Problem of Practice offering practical guidance for educators beginning to integrate AI into instruction. It shares examples of responsible tool use and strategies for enhancing teaching and learning while maintaining transparency, integrity, and student trust.

Supporting Students to Use AI Effectively and Responsibly

A Problem of Practice for teachers helping students develop the skills and awareness to use AI thoughtfully and creatively in their learning. It explores how educators can guide students to build both competence and confidence in navigating this new landscape.

Together, these resources form a coherent body of work that bridges research and practice — helping education leaders, educators, and policymakers act today while designing the systems that will shape the future of learning.