Project Grant 2540050
- Federal Grant Award Summary Carnegie Mellon University received a $923,193 Project Grant from the National Science Foundation (NSF) Division of Undergraduate Education under the STEM Education program (CFDA 47.076), effective July 1, 2026 through June 30, 2030. The award funds development and implementation of an innovative three-week, hands-on learning unit designed to advance undergraduate artificial intelligence (AI) literacy through collaborative design and tangible learning experiences. The...
- This $900,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and evaluation of an AI-based learning support system to provide personalized educational content for large-scale university courses in sustainability science. The key components of the project include: Designing and evaluating a system to interview students about their backgrounds and transform this data into a knowledge graph representation to inform...
- This Project Grant award of $200,000 from the National Science Foundation's STEM Education (47.076) program aims to promote AI readiness and democratize AI technologies for a broad spectrum of advanced cyberinfrastructure users and researchers. The key products and services provided under this 4-year award, which began on September 1, 2023, include: Developing a comprehensive suite of experiential learning modules, including flexible micro-modules and immersive extended reality experiences, to...
- 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 North Carolina State University received a $900,000 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 award supports the development of AI-powered online learning environments that integrate teachable agents, reinforcement learning, and explainable artificial intelligence (XAI) to advance...
- Federal Grant Award Summary The University of California, Riverside received a $400,000 Project Grant from the National Science Foundation's STEM Education program (CFDA 47.076) effective October 1, 2025, through September 30, 2030. As a collaborative initiative between UC Riverside and California State University, San Bernardino, this Level 2 project under the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI) program develops and delivers interdisciplinary Artificial...
- Summary The University of Virginia received a $1.0 million Project Grant from the National Science Foundation's Directorate for Technology, Innovation, and Partnerships (CFDA 47.084) awarded June 1, 2026, through May 31, 2029, to implement "AI for All: Building the Nationwide Pipeline from Classroom to Workforce." The award addresses the national shortage of artificial intelligence (AI) literacy in K–12 education by delivering a comprehensive train-the-trainer model that integrates...
- This $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) to the University of California, San Diego (UCSD) aims to redesign an introductory computer science (CS1) course to teach programming with the aid of large language model (LLM) AI assistants. The key goals are to: 1) Redesign the CS1 course to emphasize skills like code reading, testing, and problem decomposition rather than just syntax and writing code from scratch; 2) Study how...
- This Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support the development of a virtual classroom platform that uses large language model (LLM) simulated agents to facilitate collaborative learning of mathematical modeling for middle-school students. The $321,873 project aims to increase equitable access to effective mathematics education, particularly for students from under-resourced communities, by leveraging generative AI techniques....
- Federal Grant Award Summary The National Science Foundation's STEM Education program (CFDA 47.076) awarded $1,299,797 to the University of California, Berkeley (UC Berkeley) on September 15, 2025, to develop and test an innovative model for engaging youth in the co-design of artificial intelligence (AI) museum exhibits. Administered through the Division of Research on Learning in Formal and Informal Settings, this project grant will operate through August 31, 2029, and will empower up to 100...
Project Grant Award Summary The University of California, Irvine received a $1.08 million Project Grant from the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076), effective July 1, 2026 through June 30, 2030. The award funds "Intelligent Agents in the Classroom: Supporting Machine Learning Understanding Through Collaborative Design," an initiative designed to advance undergraduate artificial intelligence (AI) literacy through experiential learning. The project will develop and test a three-week, hands-on learning unit that uses a physical model (a shaft loom) to represent matrix factorization—the mathematical foundation of machine learning—supported by an intelligent conversational agent. The instructional approach integrates collaborative design, tangible making, and AI-supported learning to make abstract AI concepts accessible to diverse learners. The project aims to produce tangible educational outcomes including improved conceptual understanding of AI systems, strengthened interdisciplinary problem-solving skills, and increased student confidence in reasoning about artificial intelligence. By grounding instruction in evidence-based learning science principles, the project seeks to create a scalable model that prepares undergraduates to understand, critique, and engage thoughtfully with AI technologies in both professional practice and civic contexts. This work addresses the national need for broad undergraduate AI literacy and career readiness across diverse institutions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.1m | 6/26/26 |