Project Grant 2549953
- Federal Project Grant Award Summary Montana State University received a $114,894 project grant from the National Science Foundation (NSF) Division of Engineering Education and Centers under the Engineering program (CFDA 47.041), effective October 1, 2025 through September 30, 2027. This collaborative research project will develop educational tools and resources to bridge the gap between industry practices in generative artificial intelligence (GenAI) and chemical engineering classroom...
- 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 Grant Award Summary The National Science Foundation's Division of Engineering Education and Centers awarded $182,981 to the University of New Mexico (effective October 1, 2025 through September 30, 2027) under the Engineering program (CFDA 47.041) to develop educational tools and research instruments addressing the integration of Generative Artificial Intelligence (GenAI) in chemical engineering practice. The primary deliverables include qualitative research findings on how chemical...
- Federal Project Grant Award Summary The University of Idaho received a $200,000 Project Grant from the National Science Foundation (NSF) Division of Engineering Education and Centers (CFDA 47.041—Engineering) effective July 1, 2026 through June 30, 2028. This research initiation project examines how artificial intelligence (AI) integration into undergraduate civil engineering coursework shapes students' professional identity development, career adaptability, and perceived employability as they...
- Federal Project Grant Award Summary Funding Agency: National Science Foundation, Division of Undergraduate Education Federal Grant Program: STEM Education (CFDA 47.076) Award Amount: $149,951.00 Award Date: October 15, 2025 Performance Period: October 15, 2025 – September 30, 2028 Chapman University, in collaboration with the University of Texas at El Paso, will develop and deliver integrated responsible Artificial Intelligence (AI) education curriculum and instructional services for...
- Federal Grant Award Summary Youngstown State University received a $319,964 Project Grant from the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076), awarded October 1, 2025, with completion targeted for September 30, 2028. The project delivers six situated case studies designed to develop artificial intelligence (AI) literacy among undergraduate engineering and computing students through role-play discussions and real-world...
- Federal Grant Award Summary The University of Texas at El Paso received a $150,000 Project Grant from the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076), awarded October 15, 2025, with a completion date of September 30, 2028. This collaborative research initiative, conducted in partnership with Chapman University, delivers an integrated curriculum designed to embed responsible artificial intelligence (AI) principles into...
- Federal Grant Award Summary The National Science Foundation's Division of Engineering Education and Centers awarded the University of Missouri System a $750,000 Project Grant (CFDA 47.041—Engineering program) effective August 15, 2025, with a completion date of July 31, 2030. This collaborative research initiative, in partnership with the University of Connecticut, develops innovative AI-powered tools and pedagogical strategies to transform undergraduate engineering education during the critical...
- Federal Project Grant Award Summary 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...
- 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...
Utah State University received a $618,387 Project Grant from the National Science Foundation (NSF) Directorate for Engineering, Engineering Education and Centers division (CFDA 47.041), effective September 1, 2026 through August 31, 2030. The award funds a longitudinal research study examining how undergraduate engineering students develop metacognitive regulation, exercise sound judgment, and maintain professional responsibility while using Artificial Intelligence (AI) tools in problem-solving contexts. The research will track student learning outcomes over time, focusing on how students balance human judgment with AI assistance, develop appropriate trust in AI-generated outputs, determine when to rely on or challenge AI recommendations, and maintain accountability for decisions made in AI-supported environments. The project will generate evidence-based guidelines and policy recommendations for the responsible integration of AI tools into engineering curricula, with deliverables designed to support educators, curriculum developers, and policymakers in preparing engineers equipped to work effectively and responsibly with intelligent technologies. By modeling how students develop cognitive flexibility, ethical reasoning, and problem-solving autonomy in AI-augmented learning environments, the research aims to strengthen professional formation in engineering education and address institutional concerns about decreased accountability and weakened independent problem-solving abilities that may result from unrestricted AI tool adoption.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $618.4k | 3/19/26 |