Project Grant 2619239
- Federal Grant Award Summary The National Science Foundation's Office of Multidisciplinary Activities awarded $237,499 to the University of California, Santa Barbara (UCSB) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop and evaluate an artificial intelligence (AI)-powered learning support system that enhances student self-regulated learning through human-AI co-regulation. The project, which commenced September 1, 2026 and concludes August 31, 2029, delivers...
- Federal Project Grant Award Summary The University of South Alabama received a $274,451 Project Grant from the National Science Foundation's Office of Multidisciplinary Activities (CFDA 47.075—Social, Behavioral, and Economic Sciences program) with an award date of September 1, 2026 and completion date of August 31, 2029. This collaborative research project develops an artificial intelligence (AI)-powered learning support system designed to enhance student self-regulated learning through...
- Federal Grant Award Summary The National Science Foundation's Division of Undergraduate Education awarded $113,008 to the Regents of the University of Michigan under the STEM Education program (CFDA 47.076) on October 1, 2025, for a three-year project extending through September 30, 2028. This NSF IUSE:EDU (Improving Undergraduate STEM Education) Level 1 project delivers design principles and an artificial intelligence-powered educational tool to support personalized learning in STEM...
- Federal Project Grant Award Summary The University of Michigan, Office of Research and Sponsored Projects, received a $150,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded on August 15, 2025, with completion targeted by July 31, 2028. The award supports fundamental research on robust data-driven decision-making systems that integrate human-AI alignment with algorithmic...
- This $1.7 million project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will fund the development of a novel AI-powered student support system to improve metacognitive calibration skills at the University of Illinois from August 2022 to July 2025. The project aims to research methods for enhancing students' ability to accurately estimate their own level of knowledge using short, personalized training exercises delivered through a decentralized AI framework....
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Social, Behavioral and Economic Science awarded $500,000 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of Michigan for a project grant beginning September 15, 2025, with completion targeted for August 31, 2027. The project develops artificial intelligence technology, specifically leveraging large language models (LLMs), to extract and analyze key information from video...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Information and Intelligent Systems, awarded $413,700 to the Regents of the University of Michigan under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on July 1, 2025, for a CAREER project focused on example-enhanced intelligent tutoring systems. The award, which extends through June 30, 2030, supports the development of scalable upskilling and reskilling programs designed to...
- Federal Project Grant Award Summary The University of Michigan received a $900,000 Project Grant awarded October 1, 2025, by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The three-year project, concluding September 30, 2028, develops an intelligent cognitive load sensing and adaptive scaffolding system designed to enhance collaborative team-based learning in...
- 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 Montclair State University received a $385,877 Project Grant award from the National Science Foundation (NSF) Division of Research on Learning in Formal and Informal Settings under the STEM Education program (CFDA 47.076), effective September 1, 2025, through August 31, 2028. The award funds the development of a hybrid symbolic and generative artificial intelligence (AI)-based simulation system designed to improve elementary school teachers' classroom discussion...
The National Science Foundation (NSF), Office of Multidisciplinary Activities, awarded the Regents of the University of Michigan a $237,500 Project Grant (CFDA 47.075: Social, Behavioral, and Economic Sciences) effective September 1, 2026, through August 31, 2029, to develop and evaluate an artificial intelligence (AI)-powered learning support system that enhances student self-regulated learning through human-AI co-regulation. The research deliverables include: (1) AI models that transparently track student mastery of course concepts and generate personalized practice questions; (2) iteratively designed system interfaces developed collaboratively with instructors and students that make AI decision-making visible and controllable; and (3) empirical evaluation of the system's impact on student-AI collaboration in authentic course environments. By enabling students to inspect, reflect on, challenge, and revise the AI system's assessment of their learning, the project addresses the critical challenge of maintaining student agency and understanding in technology-mediated learning. The research team will analyze AI-generated practice questions, system interaction records, and student performance data to evaluate whether making AI systems transparent and interactive supports more effective learning outcomes compared to opaque automated support systems. This collaborative research initiative positions students as active partners rather than passive recipients in their learning process, contributing to broader understanding of how structured human-AI interaction can augment cognitive regulation in educational settings.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $237.5k | 7/9/26 |