Project Grant 2620501
- Federal Grant Award Summary Digital Promise Global received an $889,630 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025 through September 30, 2029. This collaborative research-practice partnership, in conjunction with Looking Glass Ventures, Data Science 4 Everyone, and four school districts (Broward County, FL; Indian...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $124,556 to Broward Education Foundation, Inc. under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 1, 2026, for a 16-month collaborative research initiative. This project, "Districts Helping Districts: Expanding and Amplifying Network Support for K-12 AI Integration," extends Broward County Public Schools' existing...
- Federal Grant Award Summary The ElementaryAI Project, funded by the National Science Foundation's STEM Education program (CFDA 47.076) with $926,299 obligated through a Project Grant awarded October 1, 2025, delivers a comprehensive suite of artificial intelligence (AI)-integrated elementary curricula developed through a research-practice partnership between North Carolina State University and Montgomery County Schools. Primary deliverables include AI-integrated instructional materials aligned...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $109,008 to the Broward Education Foundation, Inc. on October 1, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a collaborative research and implementation project extending through September 30, 2029. This research-practice partnership project, led by Digital Promise in collaboration with Looking Glass Ventures, Data Science 4...
- This $177,306 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support "RESPONSIBLE, ETHICAL, AND EFFECTIVE ACCEPTABLE USE POLICIES FOR THE INTEGRATION OF GENERATIVE AI IN US SCHOOL DISTRICTS AND BEYOND". The project will convene a Generative AI (GenAI) Working Group comprised of diverse school and district leaders to: Write, adapt, and share sample GenAI Acceptable Use Policies (AUPs) for a range of district contexts. Work with their...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $134,000 under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois to develop and disseminate artificial intelligence (AI) curricular resources for Advanced Placement Computer Science A (APCSA) courses. The project, awarded April 15, 2026, with a completion date of March 31, 2027, will create educational materials addressing...
- Federal Grant Award Summary The National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) awarded $299,748 to the University of Louisiana at Lafayette on October 1, 2025, for a 24-month Computer Science for All (CSforAll) research-practice partnership project. The award supports the development and implementation of a comprehensive Pre-K through 12 (PreK-12) artificial intelligence (AI) literacy curriculum pathway across Louisiana school systems,...
- Federal Project Grant Award Summary The University of Alabama received a $901,611 Project Grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings under the STEM Education program (CFDA 47.076), effective September 15, 2025 through August 31, 2028. This three-year researcher-practitioner partnership addresses artificial intelligence (AI) literacy gaps in rural upper elementary education by developing AI-themed children's literature aligned...
- This $199,503 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program will fund a large-scale, mixed-methods study to understand perceptions and use of artificial intelligence (AI) technologies in K-12 education. The one-year project will survey a nationally representative sample of parents, teachers, and youth to identify opportunities, risks, and supports needed for integrating AI-driven learning tools. The study will employ both...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a CAREER grant of $357,069 to The Johns Hopkins University (dated August 15, 2026, with completion targeted for July 31, 2031) to develop interpretable, large language model (LLM)-based artificial intelligence systems that enable scientific discovery by identifying structural parallels and cross-cutting connections across scientific literature domains. The primary...
Digital Promise Global received a $174,636 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 1, 2026. This 16-month collaborative research project, in partnership with Broward County Public Schools, develops and delivers AI-enhanced instructional lessons, revised curriculum maps, and teacher preparation materials designed to integrate generative artificial intelligence (AI) into K-12 education in a conceptually grounded manner. The project extends Broward County's existing computational thinking pathway by aligning AI integration to four core computational competencies: pattern recognition, computational modeling, algorithmic thinking, and data practices. Deliverables include grade-banded, AI-enhanced lessons and updated curriculum maps that support cumulative learning across grade levels and subject areas. The project addresses the critical challenge of moving beyond basic AI tool use to ensure students understand the underlying computational principles that drive these technologies. By grounding AI adoption in an established computational thinking framework, the initiative aims to support coherent and sustainable district-wide AI literacy that can be systematically integrated across grade levels. The work directly contributes to advancing AI education for American youth, as outlined in NSF's Dear Colleague Letter NSF 25-035. The project is scheduled for completion by September 30, 2027, with performance conducted in Washington, DC.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $174.6k | 5/28/26 |