Project Grant 2615528
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Maryland, College Park $539,184 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to explore tutoring-based models for teaching generative AI skills to non-computing majors across three institutions of higher education. The project implements and evaluates three distinct approaches for providing campus-wide responsible, effective, and...
- The National Science Foundation's Office of Multidisciplinary Activities awarded the Regents of the University of Michigan $237,500 on September 1, 2026, through the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop and evaluate an AI-powered learning support system that augments student self-regulated learning through human-AI co-regulation. The project develops artificial intelligence models that track student mastery of course concepts and generate personalized...
- The National Science Foundation Division of Undergraduate Education awarded Michigan Technological University $599,238 on October 1, 2026, under the STEM Education program (CFDA 47.076) to develop an adaptive, scalable AI-enhanced code critique system for identifying coding antipatterns across the undergraduate computing curriculum. The project, designated as a Level 2 Engaged Student Learning initiative, runs through September 30, 2029, with performance at Houghton, Michigan. The system will...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Michigan $286,177 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to research the wide-scale impact of generative AI on online communities. The project will study how generative AI tools affect content creation and participation patterns in online communities, the practice and effectiveness of community governance, how...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carleton College $267,975 on October 1, 2026, to implement and evaluate tutoring-based models for teaching generative AI coding skills to non-computing majors across three institutions of higher education. The project explores how higher education can support students in using generative AI tools in responsible, effective, and pedagogically sound ways for computational coursework. Carleton College, a...
- The National Science Foundation Division of Computing and Communication Foundations awarded $384,398 to the Regents of the University of Michigan on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for theoretical and algorithmic research on diffusion models in generative artificial intelligence. The project, titled "Towards Theoretical and Algorithmic Foundations of Diffusion Models," aims to establish mathematical and computational...
- This $400,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to the Regents of the University of Michigan to conduct collaborative research on the theoretical foundations of compositional learning in large language models based on transformer architectures. The research aims to investigate three key areas: model expressivity, statistical learning theory, and optimization, with...
- The National Science Foundation Division of Computing and Communication Foundations awarded Texas A&M Engineering Experiment Station $383,884 on June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a multi-agent framework coordinating generative AI-based agents for personalized and scalable computing education. The project addresses instructor capacity constraints in delivering timely, personalized feedback to large computing classes by...
- 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...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Michigan $367,296 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop generative artificial intelligence systems that simulate four-dimensional environments while respecting physical constraints. The research addresses a critical gap in current AI video-generation and physics-simulation models, which typically...
The National Science Foundation Division of Computing and Communication Foundations awarded $172,809 to the Regents of the University of Michigan on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and evaluate tutoring-based models for teaching generative AI coding skills to non-computing majors across three institutions of higher education. The project implements three distinct approaches for providing campus-wide support to help students use GenAI tools responsibly, effectively, and with sound pedagogy in computational coursework. The three participating institutions comprise two large public R1 land-grant universities and one small liberal arts college, enabling comparison of tutoring effectiveness across different institutional sizes, resources, and structures. The project addresses the gap between higher education's current capacity and the demand for GenAI coding instruction among computational scientists, computational artists, digital humanities scholars, and other non-software-developer students whose disciplinary work involves coding. Insights from this comparative study will generate generalizable findings on AI tutoring methods applicable across U.S. higher education. Work is performed at Ann Arbor, Michigan, with a period of performance from October 1, 2026, through September 30, 2029. University of Michigan serves as the prime recipient through its Office of Research and Sponsored Projects Division.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $172.8k | 8/11/26 |