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.
This brief highlights the critical role state education agencies can play in supporting foundational AI integration across districts. It provides specific questions and vetted tools to help SEAs assess local needs, identify gaps, and coordinate meaningful support.
This executive summary of The Learning Accelerator (TLA)’s research brief, “Innovative Approaches to Learning Acceleration Within the Core of K-12 Instruction: Initial Observations About Scaling and Implementation,” presents early learnings from Mathematica’s evaluation of the Accelerating Adoption Network, an initiative to scale the adoption of 10 technology-enabled innovations designed to accelerate student learning from within the core of instruction. Explore the full brief here.
This brief from The Learning Accelerator (TLA), “Innovative Approaches to Learning Acceleration Within the Core of K-12 Instruction: Initial Observations About Scaling and Implementation,” presents early learnings from Mathematica’s evaluation of TLA’s Accelerating Adoption Network, an initiative to scale the adoption of 10 technology-enabled innovations designed to accelerate student learning from within the core of instruction. Explore this brief’s standalone executive summary.
DSST teachers modified their unit on power to incorporate lessons regarding AI. This overview provides the scope and sequence including key concepts, activities, and focus areas.
This tool provides teachers with ways to incorporate MVP (movement, voice, and participation) engagement strategies into their lessons. Teachers select which lesson in Illustrative Mathematics they are teaching, and guidance is provided tailored to that lesson.
This chatbot, developed on Playlab, creates end-of-unit projects aligned to Common Core standards. The user must share which standards or concepts they would like students to apply for the project.
This video provides an overview of setting up a workspace on Playlab and utilizing the platform to create chatbots.
This document, delivered as a part of a professional learning opportunity for teachers, provides instruction on creating AI bots to support teaching and learning practices.
School leaders have a strong opportunity to help address challenges related to equity, access, and validity within assessment systems for virtual learners. This resource, a brief designed specifically for virtual schools and based off of our larger white paper, Assessing Learning Anytime, Anywhere: Virtual Learning as a Launchpad Into the Future, provides insights and recommendations for school leaders to take this work forward.
