Project Grant 2615527
- 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...
- The National Science Foundation Division of Computing and Communication Foundations awarded $462,092 to the University of Maryland Baltimore County on June 1, 2026, for collaborative research under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops curricula and industry-academic partnerships to align undergraduate computer science education with evolving workforce demands in software engineering, particularly as AI-based tools reshape programming...
- 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...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $340,217 to the University of Maryland, College Park under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on August 1, 2025, to support a five-year CAREER project extending through July 31, 2030. The project will develop innovative artificial intelligence (AI)-enabled tools leveraging large language models (LLMs) to advance language...
- 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...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Johns Hopkins University $357,069 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop interpretable artificial intelligence systems that help researchers identify cross-cutting connections across the scientific literature and accelerate discovery. The project creates large language model-based frameworks designed to recognize structural...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Maryland, College Park $400,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods for efficient multilingual large language model development through cross-lingual alignment transfer. The project develops technologies to reduce redundancy in multilingual AI model adaptation by reimagining multilingual model...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Illinois $134,000 on April 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and deploy artificial intelligence curricular resources for Advanced Placement Computer Science A (APCSA) courses. The project will create AI educational materials addressing two core knowledge areas: how AI works and how to use AI to write code. The University...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award (CFDA 47.070) for $385,000 will enable the University of Maryland, College Park to develop artificial intelligence (AI) systems that can provide personalized, appropriate responses to users based on their individual background and needs. The project aims to first construct a diverse dataset to characterize preferred responses from different user groups, and then use this to train AI...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Maryland, College Park $188,145 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop machine-in-the-loop writing assistants that integrate text generation systems with human authors to improve writing quality and support writing pedagogy. The project develops platforms leveraging online author communities to design and evaluate...
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 pedagogically sound (REPS-AI) support to students using generative AI tools in computational coursework. The three participating institutions—two large public R1 land-grant universities and one small liberal arts college—will serve as test sites for comparing the effectiveness of different AI tutoring methods tailored to students whose computational work spans fields including computational science, computational arts, and digital humanities rather than professional software development. Performance runs through September 30, 2029, with work performed in College Park, Maryland. The University of Maryland, College Park, operating through its Office of Research Administration & Advancement, serves as the prime recipient. The project's core objective is to develop generalizable insights into AI tutoring methods and generate direct impacts across a wide range of U.S. students by laying intellectual and practical foundations to assist institutions in supporting all students in using generative AI tools responsibly and effectively for computational coursework.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $539.2k | 8/11/26 |