Resources

Increase your AI-in-education understanding and capacity  — with primers, how-tos,  essays, research and professional development.

Final Priority and Definitions-Secretary’s Supplemental Priority and Definitions on Advancing Artificial Intelligence in Education

Final Priority and Definitions-Secretary’s Supplemental Priority and Definitions on Advancing Artificial Intelligence in Education

Federal Register

U.S. Department of Education

April 13, 2026

The Education Department’s final AI priorities and definitions for discretionary grants, emphasizing AI literacy, ethical use, evidence-building, privacy, and workforce preparation.The Education Department finalizes an AI priority and definitions for discretionary grants, emphasizing AI literacy, ethical use, evidence-building, privacy, and workforce preparation.

AI and the Future of Teaching and Learning

AI and the Future of Teaching and Learning

RAND Corporation

RAND Corporation

April 8, 2026

An overview of a RAND research report analyzing AI’s growing use among students, and their declining opinion of its benefit to learning.

AI Will Reshape More Jobs Than It Replaces

AI Will Reshape More Jobs Than It Replaces

BCG

Greg Emerson; Matthew Kropp; Julie Bedard; Lisa Krayer; Viacheslav Romanov; Megan Hsu; Luis Sanchez Boedo; Diya Mohnot

April 3, 2026

BCG argues that AI is more likely to reshape work than simply eliminate it, predicting widespread task-level change, slower full job substitution, and a leadership imperative to pair automation with upskilling, redesign, and deliberate talent planning.

The Evidence Base on AI in K-12: A 2026 Review

The Evidence Base on AI in K-12: A 2026 Review

AI Hub for Education, SCALE Initiative, Stanford University

Lily Fesler, JP Martinez Claeys, Chris Agnew, Susanna Loeb

March 11, 2026

This Stanford review synthesizes more than 800 AI-in-K-12 papers and highlights 20 high-quality causal studies, showing promising short-term gains, educator efficiency benefits, and major gaps around long-term learning, equity, and student wellness.

AIEOU shared research agenda 2026

AIEOU shared research agenda 2026

Department of Education, University of Oxford

Sara Ratner; Dongxia Nie; Elizabeth Wonnacott; Rebecca Williams; Anne Trefethen

March 3, 2026

An Oxford report synthesizes participatory input into a shared AI-in-education research agenda, highlighting priority questions around human flourishing, pedagogy, cognition, equity, governance, assessment, literacy, and the future of work.

K-12 Gen AI Maturity Tool

K-12 Gen AI Maturity Tool

CoSN

CoSN; Council of the Great City Schools

March 1, 2026

A district-facing maturity rubric that helps school systems gauge generative AI readiness and progress across leadership, operations, data, technology, security, legal risk, and academic AI literacy, then identify next steps for safer, more coherent implementation.

Adaptive Governance for AI in K-12

Adaptive Governance for AI in K-12

ILO Group

ILO Group

March 1, 2026

A report proposing an adaptive governance approach to AI in K–12 that balances innovation, oversight, and system learning.

Model Policy: Guardrails for AI-Powered Educational Tools in K-12 Schools

Model Policy: Guardrails for AI-Powered Educational  Tools in K-12 Schools

ExcelinEd

ExcelinEd Staff

February 25, 2026

A model policy draft that can be used as a foundation for AI policy development outlining recommended guardrails that states and districts should implement to ensure responsible use of AI tools in schools while protecting privacy and supporting educators.

Out Now: The Updated Edtech Insiders K-12 Generative AI Market Maps

Out Now: The Updated Edtech Insiders K-12 Generative AI Market Maps

Edtech Insiders (Substack)

Sarah Morin, Ben Kornell, Alex Sarlin, Jen Lapaz

February 18, 2026

Edtech Insiders releases updated K-12 GenAI market maps, splitting the landscape into AI-native startups and incumbents. The post explains the methodology shift and highlights where incumbents are most actively deploying AI across K–12 use cases.

Top AI Feedback Tools for Teachers

Top AI Feedback Tools for Teachers

Educators Technology

Med Kharbach

February 17, 2026

A practical guide highlighting several AI tools that help teachers provide faster and more detailed feedback on student work while maintaining professional oversight.

Driving K-12 Innovation 2026 Hurdles, Accelerators, Tech Enablers

Driving K-12 Innovation 2026 Hurdles, Accelerators, Tech Enablers

CoSN

Laura Geringer; Stephanie King; James Evans (CoSN project team)

February 1, 2026

CoSN’s 2026 innovation report synthesizes input from its advisory board to identify key K–12 hurdles, accelerators, and tech enablers—highlighting generative AI, cybersecurity/safety, talent retention, learner agency, and leadership capacity.

2025 SETDA EdTech Quality Indicators Guide

2025 SETDA EdTech Quality Indicators Guide

SETDA (State Educational Technology Directors Association)

SETDA

January 29, 2026

A comprehensive framework for evaluating the quality and effectiveness of educational technology adoption.

A new direction for students in an AI world: Prosper, prepare, protect

A new direction for students in an AI world: Prosper, prepare, protect

Brookings Institution

Mary Burns; Rebecca Winthrop; Natasha Luther; Emma Venetis; Rida Karim

January 14, 2026

A report from the Brookings Institution posits that we’re on the wrong path with AI in education, and suggests an alternate framework built around three pillars—Prosper, Prepare, Protect—to maximize the benefits of AI while reducing risks for student learning.

5 AI prompts every administrator should know

5 AI prompts every administrator should know

District Administration

Micah Ward

January 6, 2026

Provides five concrete AI prompt examples administrators can use to support planning, communication, budget analysis, and social media tasks.

Why Every Teacher Should Build a Custom GPT

Why Every Teacher Should Build a Custom GPT

Educators Technology

Med Kharbach, PhD

December 25, 2025

Explains how Custom GPTs (or Projects) can make teachers’ use of AI more efficient and consistent, while tailoring instruction to specific contexts.

Teachers’ Checklist for Evaluating AI Tools

Teachers’ Checklist for Evaluating AI Tools

Educators Technology

Med Kharbach, PhD

December 21, 2025

A checklist to evaluate new AI tools beyond marketing claims—prioritizing student data privacy, non-bias and reliability, learning value, and practical fit for real teaching workflows and constraints.

Assessment and AI: Rethinking What and How We Assess

Assessment and AI: Rethinking What and How We Assess

Educators Technology

Med Kharbach, PhD

December 19, 2025

Revisiting TEQSA’s 2023 guide on assessment, this short piece explores how generative AI challenges traditional assessment and pushes educators to redesign tasks and evidence of learning so assessment captures thinking, process, and authentic performance.

No results found.