Pati Ruiz 
Originally posted on By Digital Promise Blog on June 29, 2026 Digital Promise, alongside core partners Learning Data Insights, DrivenData, the Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE, today announced the first grant recipients of the K-12 AI Infrastructure Program, a new $26 million multi-year initiative to improve how artificial intelligence … Read more
Author: K-12 AI Infrastructure Program Team Download a PDF copy of this Formative Assessment page Definition Formative assessment is a key aspect of many applications of AI to education. Through production of public goods (as defined in the Request for Proposals), the K-12 AI Infrastructure program seeks to aid developers of AI-enabled products and services. … Read more
Building high-quality AI-enabled edtech requires an adaptive understanding of open licensing, structured pipelines that involve humans, and leveraging the open-source benchmarks, datasets, and models already available to the community. If you are looking to learn more about building more responsible and effective AI-enabled edtech for education, here are resources from The Learning Agency to explore: … Read more
RFP Overview Download the RFP as a PDF Formative Assessment and Public Goods for AI in Education Frequently Asked Questions Notice: Award decisions for RFP #1 were emailed on May 18th. Please check your personal (and institutional) spam filters for this message. If you did not recieve an email, please reach … Read more
Sandpiper is a new open-source annotation app developed by the National Tutoring Observatory (NTO) to help researchers, educators, and organizations analyze tutoring interactions at scale. Learn more: Sandpiper Launch Recording
Benchmarks from AI-for-Education.org for Pedagogy, Special Education Needs and Disabilities, Visual Maths, and Visual Reasoning. Learn more.
Suggested Citation: Andres, A., Whitmer, J., & Kurimchak, M. (2026, March 2). Not Ready Yet AI Infrastructure EdTech Market Research. Retrieved from osf.io/preprints/edarxiv/ngbkv_v1
Suggested Citation: Andres, A., Whitmer, J., & Kurimchak, M. (2026, March 2). Enabling Uptake of AI Infrastructure in K12 EdTech Applications. Retrieved from osf.io/preprints/edarxiv/vwn9c_v1
Originally posted on January 16, 2026 | By Keun-woo Lee, Pati Ruiz, Jeremy Roschelle and Rebecca Griffiths on the Digital Promise Blog. Key Ideas AI infrastructure must reflect the full diversity of learners to avoid widening opportunity gaps Datasets, models, and benchmarks should be infused with the learning sciences Sustainable public goods require more than … Read more
