Tag: Artificial Intelligence (A.I.)

From Urgent to Future: A Roadmap for Embedding Learning Acceleration within the Instructional Core

This white paper sets a vision for reimagining learning acceleration as a systemwide approach to teaching and learning—one that moves beyond short-term recovery or supplemental programs to become part of the instructional core. Grounded in field research and practitioner insights, the paper offers a roadmap for aligning instructional practices, system structures, and policy conditions to enable durable, equitable progress for all students.

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Starting Smart with AI: A Quick Guide for School and System Leaders

This brief helps local education agency (LEA) leaders take their first steps toward thoughtful AI integration in K-12 education. Framed around foundational questions and actionable steps using the Hop, Skip, Leapfrog model, it supports systems in aligning AI use with core learning goals, equity, and student-centered instructional change.

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

This report examines how the rise of generative AI is reshaping the K-12 education landscape. It outlines a bold, student-centered vision that reimagines what students learn, how they learn it, and why. The paper offers a roadmap for policymakers and system leaders to align AI integration with deeper learning, equity, and lasting instructional transformation.

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