K-12 AI Infrastructure Program

K-12 AI Infrastructure Program is sponsored by Digital Promise. Funds development of openly shared datasets, models, benchmarks, and digital public goods for safe, effective, and equitable AI tools in K-12 education, aligning with AI-native design education projects. This program should be reviewed carefully against your organization's mission, staffing capacity, timeline, and compliance readiness before you commit resources to a full application. Strong submissions usually translate sponsor priorities into concrete objectives, clear implementation milestones, and measurable public benefit.

For planning purposes, treat rolling deadlines or periodic funding windows as your working submission target unless the sponsor publishes an updated notice. A competitive project plan should include a documented need statement, implementation approach, evaluation framework, risk controls, and a realistic budget narrative. Even when a grant allows broad program design, reviewers still expect credible evidence that the proposed work can be executed within the grant period and with appropriate accountability.

Current published award information indicates $26,000,000 total program Organizations should verify the final funding range, matching requirements, and allowability rules directly in the official opportunity materials before preparing a budget. Finance and program teams should align early so direct costs, indirect costs, staffing assumptions, procurement timelines, and reporting obligations all remain consistent throughout drafting and post-award administration.

Eligibility guidance for this opportunity is: School districts, educators, researchers, developers If your organization has partnerships, subrecipients, or collaborators, define responsibilities and compliance ownership before submission. Reviewers often look for implementation credibility, so letters of commitment, prior performance evidence, and a clear governance model can materially strengthen the application narrative and reduce concerns about delivery risk.

A practical approach is to begin with a focused readiness review, then build a workback schedule from the sponsor deadline. Confirm required attachments, registration dependencies, and internal approval checkpoints early. This reduces last-minute issues and improves submission quality. For the most accurate requirements, always rely on the official notice and primary source links associated with K-12 AI Infrastructure Program.

Apply Now for the K-12 AI Infrastructure Program’s First Grant Cycle – Digital Promise Activating the following search input element will open the search modal. League of Innovative Schools Verizon Innovative Learning Schools Activating the following search input element will open the search modal.

Apply Now for the K-12 AI Infrastructure Program’s First Grant Cycle February 4, 2026 | By Digital Promise Digital Promise is pleased to launch the first request for proposals of the new K-12 AI Infrastructure Program . This program invites projects developing public goods—including datasets, benchmarks, and models—designed to support multiple applications of AI in K-12 education.

By creating modular open-license public goods, we aim to lower the barrier for all developers to create high-quality, valid, and fair AI products that serve every student. The vision of the initial RFP is to produce public goods that will be widely adopted and will improve how AI can enable strong formative assessment practices.

We are seeking high-quality proposals that operationalize learning science constructs, center populations furthest from opportunity through Targeted Universalism, and directly support educators. This funding cycle supports two tracks: Track 1 for proof-of-concept projects and Track 2 for enhancing existing assets. The program will award grants between $50,000 to $250,000 for a 6-12 month period of performance.

The application is now open and will close on Sunday, March 8, 2026 at midnight Pacific Standard Time. “We are building the shared technical infrastructure needed to develop learning science-based AI approaches,” said Jeremy Roschelle, Director of the Infrastructure Program. “Our vision for this work was shaped by input from educators, developers, and researchers through our request for information and market research.

While the learning sciences have firmly established that well-implemented formative assessment can have powerful impacts on learning, formative assessment can be difficult to implement. By making public goods freely available to all educational products, we aim to enable state-of-the-art formative assessment practices across the board.

” The K-12 AI Infrastructure Program , a multi-year initiative led by global education nonprofit Digital Promise, aims to bridge the gap between the scientific principles of teaching and learning and the growing potential of artificial intelligence. Core partners include Learning Data Insights, DrivenData, Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE.

“We’re seeing huge energy among innovative developers to use AI as they incorporate adaptive formative assessment in their products and services,” said John Gamba, Director of Innovative Programs at Penn GSE.

“We see companies participating in this project in two ways; first, by responding to the RFP and proposing innovative datasets, models or benchmarks for public good, and second, by incorporating the resulting public goods into their development work going forward. ” The review process will bring together funding partners, edtech developers, researchers, and practitioners to ensure a rigorous and collaborative evaluation.

After an initial review of submitted proposals, selected recipients will be announced in April. Additional funding opportunities will be announced later in 2026. Want to stay up-to-date with the K-12 AI Infrastructure Program?

Find more resources here: Register for RFP Informational Sessions: Info Session: Learn more about the K-12 AI Infrastructure Program’s First Grant Cycle : Mon. , Feb. 9 at 4 p.

m. ET/1 p. m.

PT Targeted Universalism Office Hour: Tues. , Feb. 17 at 5 p.

m. ET/2 p. m.

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