1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
AI-Enabled Teaching and Learning Initiative is a grant from the U.S. Department of Education's Institute of Education Sciences that funds research and development centers working to integrate generative artificial intelligence into classroom teaching and learning.
Through the Education Research and Development Center program, IES supports centers conducting exploratory research on how generative AI is used in classrooms, developing or revising educator- and learner-facing AI tools, and piloting these tools to assess their promise for improving student outcomes.
In 2024, IES funded four centers, including the GENIUS Center for STEM+C education, centers focused on writing, reading, and learning across subject areas. Centers are also expected to provide national leadership on the responsible use of generative AI in education.
Eligible applicants are educational institutions and organizations with the capacity to conduct large-scale research and provide national leadership in AI-enhanced education. This program uses the Education Research Grants mechanism (84. 305C).
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Using Generative Artificial Intelligence to Augment Teaching and Learning in Classrooms | IES Using Generative Artificial Intelligence to Augment Teaching and Learning in Classrooms Through the Education Research and Development Center (R&D Center) program (84. 305C), the Institute of Education Sciences (IES) supports R&D centers that conduct research and provide national leadership on key education issues that face our nation.
These centers have greater resources than are available through the Education Research Grants program ( 84. 305A) to tackle understudied but critically important topics and create innovative solutions that could be deployed at scale. In 2024, IES invited applications to establish one or more R&D Centers focused on U sing G enerative A rtificial In telligence to Augment Teaching and Learning in Classrooms (U-GAIN Center).
IES funded four R&D Centers. Recent breakthroughs in generative artificial intelligence (AI) have created opportunities to explore and develop new types of AI driven education technologies that have the potential to reshape the work of educators with tools to augment teacher practice and tools to directly support student learning.
Through its focused program of research, the funded U-GAIN Centers will (1) conduct at least one exploratory study to examine how generative AI is currently used in classrooms to improve teaching and learning outcomes, (2) informed by the exploratory study, develop at least one new or revise one existing educator- and/or learner facing generative AI tool designed for use in classrooms, and (3) conduct a pilot study to assess the promise of the newly developed/revised generative AI tool for improving learners' education outcomes.
In addition to the focused program of research, IES expects the U-GAIN Centers to provide national leadership on the responsible use of generative AI to improve learner outcomes.
The four U-GAIN Centers are: National Center on Generative AI for Uplifting STEM+C Education (GENIUS Center) (R305C240010) This Center aims to transform education through the development of a GenAI learning agent, GenAgent , to address the need for robust interdisciplinary science, technology, engineering, mathematics, and computing (STEM+C) education for middle school students.
GenAgent will serve as a mentor, learning buddy, collaborative learning agent, and teacher assistant to promote six key middle school science and engineering practices. Participating teachers and their students will come from middle schools in five states: Georgia, Michigan, South Carolina, Tennessee, and California.
AmplifyGAIN: Generative AI for Transformative Learning (R305C240012) This Center focuses on the use of GenAI to enhance mathematics and science teaching and learning in K-12 schools. They will conduct exploratory studies and longitudinal, nationwide surveys of teachers to discover use scenarios and refine theories of change about how GenAI tools can transform math and science teaching and learning.
This will inform the development and implementation of Colleague AI —an AI-enhanced assistant—to empower teachers to compose rigorous, engaging, and inclusive lesson materials, conduct formative classroom assessments, and automatically score and generate diagnostic reports to personalize student feedback. Research on Colleague AI will be conducted primarily in Washington state school districts.
The Using Generative AI for Reading R&D Center (U-GAIN Reading) (R305C240040) This Center will investigate how to integrate GenAI, aligned to scientific evidence about reading, to achieve strong, equitable gains for diverse elementary school students, with a specific focus on English learners (ELs).
This research will generate (a) new knowledge about how to use generative AI to create content that matches each student's interests and strengths, enable dialogues about the meaning of content, and adapt to a student's progress and needs; (b) evidence about the benefits to ELs and all students of implementing this knowledge in a scalable reading platform; and (c) national leadership on how to support and sustain active reading among ELs in an age of AI.
Research will take place in Washington, DC, Maryland, and Texas. Center for Early Literacy and Responsible AI (CELaRAI): Innovating Beginning Reading Instruction for Culturally and Linguistically Diverse Learners (R305C240046) This Center will explore how to harness the transformative power of GenAI to innovate K-2 beginning reading materials and support for independent reading.
CELaRAI will focus on research and development of AI Reading Enhancer (AIRE), a student-facing tool to generate personalized text ( AIRE Text Generator ), conduct real-time reading analysis ( AIRE Reading Analysis ), and provide just-in-time literacy support ( AIRE Text Enhancer ).
This project will take place in urban and suburban public elementary schools in New York, Michigan, and North Carolina that serve culturally and linguistically diverse students from low- to mid-socioeconomic-status families.
According to the current listing, eligibility includes: Educational institutions and organizations focused on integrating AI into education and workforce development. Confirm the full requirements in the official notice before applying.
AI-Enabled Teaching and Learning Initiative is funded by U.S. Department of Education. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Gates Foundation committed at least $1 billion over two years to equitable AI alongside its 10th Goalkeepers Report — 40% education, 40% health, 10% agriculture, 10% digital infrastructure. Five days later, 60 organizations signed a five-year goal to reach 3.4 billion speakers of underrepresented languages. Here is how implementing nonprofits should read both.
Read articleNIFA's Hispanic-Serving Institutions Education Grants Program (USDA-NIFA-HSI-011903) posted September 10, 2026 with $30.6 million, 40 anticipated awards, and a December 3 deadline. It uses the same 25 percent enrollment definition the Justice Department has declined to defend at the Department of Education. Here is the structure, the three grant types, and the caps that decide who wins.
Read articleBetween September 2025 and June 2026, ED published five Federal Register notices establishing seven Secretary's Supplemental Priorities — literacy, education choice, returning education to the states, meaningful learning, career pathways, AI in education, and patriotic education. They are not press releases. They are a scoring architecture, and FY2026 competitions are already using two and three at a time.
Read article