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Open Source AI Model for Tutoring (EDU AI) is sponsored by Bill & Melinda Gates Foundation (managed through Digital Promise's K-12 AI Infrastructure Program). This grant funds the development of an open-source AI model for K-12 tutoring, addressing limitations in current AI tutors that give answers too quickly, miss signs of student motivation, and fail to support productive problem-solving.
It aims to develop openly-shared datasets, models, benchmarks, and other digital public goods to advance the accuracy and relevance of AI in education.
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Or search similar grants →According to the current listing, eligibility includes: Teams must include expertise in machine learning/AI engineering, K-12 practice, learning science/education research, and EdTech product partnerships. Confirm the full requirements in the official notice before applying.
The current listing shows up to $8,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Open Source AI Model for Tutoring (EDU AI) are due July 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Open Source AI Model for Tutoring (EDU AI) is funded by Bill & Melinda Gates Foundation (managed through Digital Promise's K-12 AI Infrastructure Program). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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Gates Foundation Open Source AI Model for Tutoring EDU AI Grant via Digital Promise is sponsored by Bill & Melinda Gates Foundation (managed through Digital Promise's K-12 AI Infrastructure Program). The EDU AI grant funds development of an open-source AI model for K-12 tutoring, addressing limitations in current AI tutors that give answers too quickly, miss signs of student motivation, and fail to support productive problem-solving.
The EDU AI grant funds development of an open-source AI model for K-12 tutoring, addressing limitations in current AI tutors that give answers too quickly, miss signs of student motivation, and fail to support productive problem-solving. The funded team will produce model weights, training code, datasets, evaluation tools, and documentation released under permissive licenses (Creative Commons Attribution 4.0 and Apache 2.0). The work focuses initially on mathematics tutoring with potential expansion to other subjects. Lead organizations must have at least one peer-reviewed publication before May 8, 2026, a demonstrated record of contributing digital public goods, prior experience with LLMs in U.S. education contexts, meaningful prior deployment using real student data (proof-of-concept work insufficient), and at least one major tutoring EdTech provider identified or conditionally committed. Strong fit for academic-industry consortia combining ML/AI engineering with deep K-12 classroom expertise and learning science.
Educational Technology, Media, and Materials for Individuals with Disabilities Program (Stepping-up Technology Implementation competition) is sponsored by U.S. Department of Education. This program aims to improve results for students with disabilities by promoting the development, demonstration, and use of technology; supporting educational activities of value in the classroom for students with disabilities; providing captioning and video description; and ens…
The Robotics Grant Program is a grant from the Alabama State Department of Education (ALSDE) that funds school-based robotics programs for elementary, middle, and high school students. Awarded through a competitive application process, the program provides up to $3,500 to eligible local education agencies (LEAs) in Alabama. Applicants must be public school systems submitting on behalf of schools with K–12 students. The grant supports the purchase of robotics equipment and program development aligned with AMSTI guidelines. Applications are submitted online through the AMSTI Robotics Grant portal. The Fiscal Year 2026 application deadline was September 30, 2025. Questions should be directed to robotics@amsti.org. The program is managed by the Alabama State Department of Education under State Superintendent Eric G. Mackey.
The May 29 OMB rewrite of 2 CFR Part 200 quietly rebuilds the pass-through entity compliance architecture. Proposed §200.332 strengthens subrecipient risk assessment, monitoring documentation, and remediation triggers. A new requirement mandates that every subaward be reported to SAM.gov with the reported records confirmed in performance reports — converting subaward administration from a back-office accounting function into a public-record certification regime. For the universities, state agencies, and national nonprofits that pass through more than half of their federal awards as subawards, the operational implication is a new compliance operating model that needs to be standing up by the October 1 effective date.
Read article52 of 56 BEAD final proposals are approved, 52 award agreements are signed, and construction on the first BEAD-funded networks begins this summer. The next 12 months are the subcontracting and digital-equity-partnership window — not the application window most nonprofits are still waiting for.
Read articleOn July 8, 2026, the Massachusetts Clean Water Trust approved $244,598,804 in new grants and low-interest loans for water and sewer projects. It is one example of a national machine — the Clean Water and Drinking Water State Revolving Funds — that moves billions each year through the states, not through Grants.gov. Here is how the SRF actually works, why the 'loan' framing hides real grant dollars, who is eligible, and how municipalities and utilities should compete for lead-service-line, PFAS, and stormwater money.
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