Project Grant 2541320
- Federal Grant Award Summary Funding Agency and Program: National Science Foundation (NSF), Computer and Information Science and Engineering (CFDA 47.070) Award Details: Texas A&M Engineering Experiment Station received a Project Grant of $383,884 awarded June 1, 2026, with completion targeted for May 31, 2031. This CAREER award funds the development of a novel multi-agent framework designed to integrate generative artificial intelligence (AI) capabilities with human instruction in...
- This $200,000 Project Grant from the National Science Foundation's STEM Education program (CFDA 47.076) will fund two key initiatives at Texas A&M University-San Antonio, a Hispanic-Serving Institution: A "Foundational and Use-Inspired AI Research Initiative" focused on improving healthcare quality of life, transforming national defense and security, and enhancing cloud computing capabilities. The expected outcomes include novel contributions to medical imaging reliability, reduced...
- This $399,855 federal Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) is supporting the "ExpandAI Capacity Building Project" at Texas A&M International University (TAMIU), a Hispanic-Serving Institution located in Laredo, Texas. The project establishes and expands artificial intelligence (AI)-related education, research, and training activities at TAMIU to cultivate a diverse group of AI-trained engineers. Key components...
- The National Science Foundation's Division of Research on Learning in Formal and Informal Settings awarded $114,371 to The Research Foundation For The State University Of New York on September 15, 2025, under the STEM Education program (CFDA 47.076) to develop artificial intelligence (AI) literacy resources and professional learning support for middle school educators. Over the two-year project period through August 31, 2027, university researchers will collaborate with school districts in Texas...
- Federal Grant Award Summary This National Science Foundation (NSF) STEM Education (CFDA 47.076) Project Grant, awarded on October 1, 2025, provides $216,674 in funding to Texas A&M University to support a collaborative research and educational initiative extending through September 30, 2029. The project develops and evaluates two instructional modalities—Virtual Reality Artificial Intelligence (VR AI) avatar simulations and scaffolded peer teaching—designed to enhance preservice STEM teacher...
- The National Science Foundation awarded a $200,000 Project Grant to Texas State University under the STEM Education program (CFDA 47.076) to expand AI curriculum and infrastructure on the university's campus. The project aims to significantly expand access to AI education, infrastructure, and research opportunities across non-AI disciplines like criminal justice, psychology, firefighting, and agriculture. This four-year initiative will enhance instructional and curricular capacity by...
- 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...
- This National Science Foundation (NSF) Project Grant award of $200,000 to Texas A&M International University (TAMIU) is funded through the STEM Education (CFDA 47.076) program. The project aims to enhance the statistics curriculum in engineering and mathematics programs at TAMIU, a Hispanic-Serving Institution, by integrating artificial intelligence (AI) concepts and methods. The project will apply visual learning, data visualization, and gamification techniques to improve student...
- This National Science Foundation (NSF) project grant under the STEM Education (CFDA 47.076) program provides $185,496 to the University of North Texas to engage approximately 500 high school students and 25 teachers from under-resourced communities in the design and application of AI-enabled microelectronics technologies. The goal is to develop a high school curriculum that integrates computer science and engineering using microelectronics and AI as the context, in order to prepare students...
- Federal Grant Award Summary Texas A&M University received a $227,419 Project Grant from the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076), effective October 1, 2025 through September 30, 2028. This collaborative research initiative will develop and evaluate three course-specific Generative Artificial Intelligence (GenAI) learning assistants tailored to Architecture, Engineering, and Construction (AEC) education at the...
Award Summary Texas A&M University received a $952,970 Project Grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings (STEM Education program, CFDA 47.076) effective August 1, 2026, through July 31, 2031. Under this five-year CAREER award, the university will design, implement, and study an artificial intelligence (AI)-guided agriculture science, technology, engineering, and mathematics (AG-STEM) learning model for rural middle school classrooms in Texas. The project will develop a 16-lesson learning ecology—including classroom activities, teacher materials, and a classroom-safe AI peer mentor—through five design-based research cycles. Approximately 200–250 middle school students annually across two rural Texas school districts will participate in place-based investigations of local sustainability problems, build and operate low-cost environmental sensors, analyze and model data, and develop evidence-based recommendations for farmers and community stakeholders. The project addresses a documented gap in computational thinking development among rural students by integrating data science and human-AI collaboration into authentic agricultural contexts. Research outputs will include evidence regarding how computation- and data-rich STEM learning can be operationalized in rural classrooms, with implications for agricultural workforce preparation and other applied STEM fields. Deliverables comprise curriculum materials, teacher professional development resources, the AI peer mentor platform, peer-reviewed publications on student computational thinking development, and findings on workforce readiness in data-driven agricultural practices.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $953.0k | 6/24/26 |