Project Grant 2619238
- Federal Project Grant Award Summary 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...
- 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 Grant Award Summary The University of Alabama received a $759,516 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 1, 2025 through August 31, 2029. The "PrimaryAI Scale-Up" project delivers artificial intelligence (AI) education curriculum and implementation support to rural upper elementary students in grades 3-5 across Alabama, Indiana,...
- Federal Project Grant Award Summary The University of Alabama received a $901,611 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 three-year researcher-practitioner partnership addresses artificial intelligence (AI) literacy gaps in rural upper elementary education by developing AI-themed children's literature aligned...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $461,140 to the University of Miami (prime recipient) on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to establish a collaborative, remotely accessible Artificial Intelligence of Things (AIoT) infrastructure. This collaborative research project, coordinated among the University of Miami, University of Florida, North...
- 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 Project Grant Award Summary The National Science Foundation (NSF), through its Office of Multidisciplinary Activities division under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), awarded the University of Alabama a $520,547 Project Grant effective July 1, 2026, through June 30, 2029, to conduct experimental research on complexity and dynamic learning under uncertainty. The project delivers scientific research products focused on understanding how individuals...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $649,388 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), effective August 15, 2025, with completion targeted for July 31, 2029. The project investigates the impact of artificial intelligence (AI) chatbot usage on student exam performance, assessment validity, and long-term...
- 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:...
- 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...
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 human-AI co-regulation. The system makes AI decision-making transparent and controllable by visibly representing the AI's estimates of student concept mastery in formats that students can inspect, reflect upon, challenge, and revise, thereby maintaining students' active agency in their learning process rather than positioning them as passive recipients of automated support. The project delivers three primary research and development components: (1) AI models that track student mastery of course concepts and generate personalized practice questions based on evolving competency estimates; (2) system interface designs developed collaboratively with instructors and students; and (3) implementation and evaluation of the system in authentic course environments. Through analysis of AI-generated practice questions, system interaction records, and student performance data, the research team aims to demonstrate how structured interaction between learners and AI systems can augment cognitive regulation in real-world educational settings, with research findings contributing to evidence-based practices in AI-supported education.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $274.5k | 7/9/26 |