student solving a math problem

HQIM + Coherent AI = New Possibility

The MathAI Impact Network is a new multi-year, multi-district pilot testing how AI can help school systems strengthen math professional learning and instructional coherence without increasing burden on educators.

Expanding Math Potential

School systems across the country are moving quickly on artificial intelligence. Rather than starting with tools, we start with instructional priorities, leadership practices, and the professional learning systems districts already use. Then, we can ask: where can AI strengthen coherence, save time, and support better instructional decisions?

The MathAI Impact Network is one example of this broader AI learning agenda in action, starting with a focus on systemic approaches to using AI alongside high-quality instructional materials.

“Our goal isn't to automate teaching or push for AI use because it’s trendy, as is the case with many edtech-driven initiatives. This technology is already entering classrooms. We want to help systems critically understand, optimize, and integrate safe AI tools within a vision for math excellence to amplify the human work of teaching and learning.“
Albert Kim, Chief Innovation Officer at Leading Educators

The Theory We're Testing

Why Start With Math?

Math is a high-priority focus for school systems nationwide. In recent years, curriculum quality has improved significantly, with many districts adopting high-quality instructional materials (HQIM). Yet scaling strong, curriculum-based professional learning remains a persistent challenge.

Teachers and leaders are expected to: deeply internalize lessons, plan aligned instruction that uses effective practices, engage in collaborative planning, and reflect in coaching cycles. However, time, capacity, and inconsistent structures often limit how well these routines function.

By strategically integrating focused AI tools, we’re exploring a central question:

How might AI strengthen curriculum-based professional learning—without fragmenting instructional focus or increasing burden on educators?”

About the MathAI Impact Network

The MathAI Impact Network is a multi-year, multi-district learning initiative developed in partnership with Playlab and supported by the Gates Foundation and Valhalla Foundation.

Participating districts include:

Across approximately 26 schools serving grades 3–10, educators are testing how AI-enabled supports can be embedded directly into curriculum-specific math professional learning routines.

This is not a technology rollout. It is a structured effort to explore how AI interacts with lesson internalization and instructional planning, how leadership practices shape effective use, how AI can support coaching conversations and collaborative routines, and under what conditions AI adds value—and when it does not.

Our Approach to AI

The math pilot sits within a larger body of AI-focused innovation work that Leading Educators is co-designing with school systems, educators, curriculum publishers, and support organizations.

Our collective charge is to ensure AI strengthens what teachers and students do best, anchored to three core principles:

  1. Think deeply. Use AI to unlock, not replace, critical and creative thought.
  2. Connect meaningfully. Use data and design to foster belonging, not isolation.
  3. Learn faster together. Model what it means to adapt with purpose and integrity.

When taken together, our AI pilots are designed to provide clear signals on how best to anchor AI in the instructional routines and learning systems we already know drive results.

Interested in joining the cohort? Get in touch below.


“The real work of improving instruction happens through people—through coaching conversations, collaborative planning, and leaders making thoughtful decisions together. If AI has a role to play, it has to strengthen that human work, not distract from it.”
Britney Wray, Senior Director of AI-Enabled Instruction
The Experience

Participating schools are not adopting a standalone AI product. Instead, they are integrating AI-enabled supports—designed by Leading Educators and Playlab using existing district or network resources and context—directly into the professional learning routines they already use for high-quality math curriculum. Over the course of the year, participating educators and leaders engage in:

Structured Lesson Internalization with AI Support

Teachers use an AI-enabled lesson internalization tool designed to help them clarify the mathematical focus and instructional goals of upcoming lessons.

They also anticipate student thinking and common misconceptions, identify high-leverage questions and scaffolds, and reflect on alignment between curriculum intent and instructional moves.

The tool is embedded into existing planning routines, not layered on as an additional task.

Leadership-Aligned Professional Learning

School and district leaders participate alongside teachers to model and reinforce shared expectations.

This strengthens alignment between curriculum, coaching, and classroom practice while establishing clear guardrails for AI use.

Finally, we support them in monitoring how AI is interacting with instructional routines.

Coaching and Collaborative Planning

AI-enabled supports are used to enrich coaching conversations focused on instructional decision-making.

This looks like collaborative planning sessions within PLCs and intentional reflection on implementation of high-quality instructional materials (HQIM).

The goal is to enhance the depth and efficiency of existing professional learning—not replace human collaboration.

The Shift

Consider an Example: Imagine a grade-level team is preparing for an upcoming math unit. Instead of starting with a blank planning document, teachers engage with structured prompts that help them analyze the lesson’s mathematical purpose, anticipate student strategies, and refine questioning techniques. Leaders use the same framework to align coaching conversations, determine look-fors for observation, and norm on expectations.

educators participate in a design thinking workshop

Meet the Team

This math pilot is powered by an experienced team of career educators, coaches, designers, and strategists.

Emily Schriber

Managing Director of AI Strategy

Emily Schriber is the Managing Director of AI Strategy at Leading Educators, where she leads the design and scaling of new models that integrate artificial intelligence into instructional systems to i...
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Britney Wray

Britney Wray

Senior Director of Networks of AI-Enabled Instruction

Britney Wray leads national efforts to examine how artificial intelligence can improve facilitation of high-quality curriculum, deepen teacher pedagogy, and enhance student outcomes.
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Headshot of Aneka Bruce

Aneka Bruce

Director of AI-Enabled Instruction, Math

Aneka Bruce supports the design, testing, and implementation of cutting-edge AI-based mathematics tools alongside educators across school districts nationwide.
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LeAnita Garner

Director of AI-Enabled Instruction, Math

LeAnita Garner is a forever educator and champion of educators with extensive experience in instructional leadership and coaching across systems.
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Emily Schriber

Britney Wray

Britney Wray

Headshot of Aneka Bruce

Aneka Bruce

LeAnita Garner