Colleague AI and University of Washington expand NSF-backed educator AI training

Colleague AI, the University of Washington and partners including aiEDU and school districts are scaling a National Science Foundation-funded effort to train middle-grade math teachers in AI skills, lesson planning and ethics. The initiative aims to deliver more than 240 training sessions and reach 4,800 educators nationwide.

Why it matters: - The initiative targets middle-grade mathematics teachers, a group that can shape how AI enters everyday classroom practice. - The effort is built to spread AI competency, tool use, pedagogy and ethics training beyond a single campus or district. - The partners say the work is meant to help educators prepare K-12 students for post-secondary and workforce success.

What happened: - Colleague AI announced a growing coalition of partners on August 10, 2026, for an NSF-funded educator AI initiative. - The coalition includes AmplifyLearn.AI, the University of Tennessee at Knoxville, aiEDU, the Minnesota Generative AI Alliance for Education, school districts and regional educational service centers. - The group is working to bring AI training and lesson-planning resources to middle-grade mathematics teachers nationwide. - The partners set a goal of more than 240 training sessions and 4,800 educators reached nationwide.

The details: - The collaboration operates under continuing NSF award #2405110 from the Discovery Research PreK-12 program, NSF 23-596. - The effort will include in-person or synchronous AI training sessions. - The project will provide turnkey AI learning materials designed for educators with limited time. - The initiative will use a train-the-trainers model to help schools and districts sustain the work locally. - The University of Washington will offer AI Certified Educator digital badging. - Regional events and networking opportunities are part of the plan to build national learning and talent-development infrastructure. - Colleague AI said ten education service centers and regional service centers have already taken part in a similar effort funded by prior federal grant programs. - The company is seeking more school districts, education service centers, local education agencies and regional service centers to join the grant. - Solicitations will be released soon on AmplifyLearn.AI and Colleague AI websites. - Dr. Min Sun, co-founder of Colleague AI and director of AmplifyLearn.AI at the University of Washington College of Education, said the collaboration depends on partners who can extend reach into schools.

Between the lines: - The partnership shows how federal research funding is being used to turn AI training into a broader professional-development network. - The emphasis on regional service centers suggests the project is trying to move through existing education intermediaries, not just individual schools. - The focus on ethics and pedagogy signals that the initiative is aiming for classroom use that is both practical and responsible. - Colleague AI's description of a growing partner base suggests demand is widening beyond the initial group.

What's next: - The partners are expected to add more school districts and service centers as solicitations open. - Interested district leaders, education service centers, educator preparation programs and regional service centers can contact Dr. Min Sun about participating. - The broader effort will continue as the coalition works toward national training and badge-based credentialing.

The bottom line: - Colleague AI and its university and nonprofit partners are trying to build a national pipeline for teacher AI training, with NSF funding and regional education networks doing the heavy lifting.