Project Grant 2619240
- 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 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 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 STEM Education program (CFDA 47.076) awarded $1,299,797 to the University of California, Berkeley (UC Berkeley) on September 15, 2025, to develop and test an innovative model for engaging youth in the co-design of artificial intelligence (AI) museum exhibits. Administered through the Division of Research on Learning in Formal and Informal Settings, this project grant will operate through August 31, 2029, and will empower up to 100...
- This $900,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and evaluation of an AI-based learning support system to provide personalized educational content for large-scale university courses in sustainability science. The key components of the project include: Designing and evaluating a system to interview students about their backgrounds and transform this data into a knowledge graph representation to inform...
- Project Grant Award Summary The University of California, Irvine received a $1.08 million Project Grant from the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076), effective July 1, 2026 through June 30, 2030. The award funds "Intelligent Agents in the Classroom: Supporting Machine Learning Understanding Through Collaborative Design," an initiative designed to advance undergraduate artificial intelligence (AI) literacy...
- 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 The National Science Foundation's Division of Computing and Communication Foundations awarded $479,932 to the American Institutes for Research in the Behavioral Sciences (AIR) on July 15, 2026, under the Computer and Information Science and Engineering (CFDA 47.070) program. This collaborative research project develops and validates measurement scales to assess artificial intelligence (AI) literacy among middle school teachers across three competency dimensions:...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $134,000 to the University of Illinois on April 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and implement artificial intelligence curricular resources for Advanced Placement Computer Science A (APCSA) courses. The project directly addresses the Executive Order on Advancing Artificial Intelligence Education for American...
- Federal Grant Award Summary San Francisco State University received a $175,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective July 1, 2025 through June 30, 2027. The award supports development of an artificial intelligence (AI)-driven collaborative goal-setting system utilizing socially assistive robots to support individuals with mild...
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 three primary research outputs: (1) development of AI models that track student mastery of course concepts and generate personalized practice questions; (2) iterative co-design of system interfaces in collaboration with instructors and students to ensure transparency and user control; and (3) implementation and evaluation of the system in authentic educational settings, including analysis of AI-generated content, interaction data, and student learning outcomes. The core innovation centers on creating a transparent, controllable learning system that displays the AI's understanding of student concept mastery as a visible representation that students can inspect, reflect upon, challenge, and revise. By positioning students as active partners rather than passive recipients of automated recommendations, this research addresses concerns about AI opacity in educational technology while investigating the mechanisms through which structured human-AI interaction can effectively support learning objectives in real-world course environments.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $237.5k | 7/9/26 |