Project Grant 2621009
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded $499,988 to the University of Miami on July 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for collaborative research titled "Phase I CAMEL-CN: ALTA-CN: AI-Powered Learning by Teaching for Algebraic Reasoning Through Collaborative Networks." The project, which runs through June 30, 2029, will create research-ready datasets...
- Federal Project Grant Award Summary The University of Utah received a $110,000 Project Grant award effective September 1, 2025, through August 31, 2028, from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop a comprehensive framework for the principled use of artificial intelligence (AI) technologies in data-intensive education research. This collaborative research initiative addresses the gap between high-level responsible AI principles and...
- Federal Project Grant Award Summary The University of Utah received a $444,202 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded September 15, 2025, with completion targeted for August 31, 2028. This collaborative research initiative develops computationally efficient hypercomplex variable-based sensitivity methods to accelerate digital twin (DT) model updating processes. The...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Behavioral and Cognitive Sciences, awarded the University of Delaware a $235,384 Project Grant (CFDA 47.075: Social, Behavioral, and Economic Sciences) effective July 1, 2026 through June 30, 2028. This Phase I collaborative research project, titled "CAMEL-CN: From Errors to Outcomes," develops artificial intelligence (AI)-enabled assessment tools to analyze student mathematical problem-solving processes and...
- Federal Project Grant Award Summary The University of Utah received a $558,188 Project Grant awarded on January 15, 2026, through the National Science Foundation's Office of Integrative Activities under the Geosciences program (CFDA 47.050). This collaborative research initiative, extending through December 31, 2028, delivers scientific research products and computational tools aimed at understanding the dynamical behavior of dense granular media relevant to natural hazards such as avalanches,...
- Federal Project Grant Award Summary The National Science Foundation's Office of Multidisciplinary Activities awarded $500,000 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of California, San Diego to develop a Large Language Model (LLM)-Based Smart Learning Hub for computing education. The project, which commenced on October 1, 2025, and will conclude on September 30, 2028, aims to create an integrated pedagogical tool that leverages artificial...
- Federal Grant Award Summary Florida State University's Sponsored Research Administration Division received a $1.509 million Project Grant from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), awarded July 1, 2026, with completion expected June 30, 2029. This Phase I award funds the Collaboratory to Advance Mathematics Education, Artificial Intelligence, and Learning for Comprehensive...
- Federal Project Grant Award Summary The University of Utah received a $220,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for the period August 1, 2025, through July 31, 2027. This collaborative research initiative focuses on bridging singularities in algebra and geometry across characteristics through advanced theoretical research in commutative algebra and algebraic geometry. The...
- Federal Grant Award Summary The National Science Foundation's Division of Research on Learning in Formal and Informal Settings awarded $350,000 under the STEM Education program (CFDA 47.076) to the University of Utah for a three-year project extending from October 1, 2025, through September 30, 2028. This Building Capacity of STEM Education Research (BCSER) Individual Investigator Development track grant funds the development of an innovative educational intervention utilizing generative...
- Federal Project Grant Award Summary The Institute For Advancing Computing Education received $238,506 in federal funding from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) for a collaborative research project awarded July 15, 2026, with completion targeted for June 30, 2029. This project develops and validates measurement scales to assess Artificial Intelligence (AI) literacy among middle school teachers across three dimensions:...
The University of Utah received a $999,998 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective July 1, 2026 through June 30, 2029. This collaborative Phase I research project, titled "CAMEL-CN: ALTA-CN: AI-Powered Learning by Teaching for Algebraic Reasoning Through Collaborative Networks," will create research-ready datasets from an existing digital learning platform serving over 60,000 middle school students nationwide. The primary product is the development, documentation, and public release of large-scale, multimodal datasets comprising over 3 million student-artificial intelligence (AI) learning-by-teaching interactions and 30 million learning engagement events, linked to validated statewide mathematics assessments. These datasets will be AI-ready and well-documented to support future national research on mathematics teaching and learning. The project leverages a novel pedagogical approach wherein students serve as active instructors who explain mathematical reasoning, diagnose errors, and refine explanations while teaching concepts to an AI agent. By connecting rich engagement records with high-stakes mathematics assessment outcomes, the research team will advance understanding of AI-powered mathematics learning and provide the broader research community with research infrastructure to investigate effective mathematics instruction at scale. No subawards are planned for this project.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 6/22/26 |