Project Grant 2551552
- The National Science Foundation Division of Information and Intelligent Systems awarded Virginia Polytechnic Institute & State University $383,998 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research on semantic code understanding by large language models for software maintenance. The project systematically studies and improves artificial intelligence models' understanding of code in realistic software maintenance settings. The...
- The National Science Foundation Division of Graduate Education awarded Virginia Commonwealth University $250,000 on September 1, 2026, under the STEM Education program (CFDA 47.076) to develop curriculum and instructional materials preparing undergraduate computing students to use artificial intelligence coding tools securely and responsibly. The project will deliver a threat modeling framework for AI-assisted coding workflows and at least eight hands-on laboratory modules built around realistic...
- The National Science Foundation Division of Undergraduate Education awarded Virginia Polytechnic Institute & State University $750,000 on October 1, 2026, under the STEM Education program (CFDA 47.076) to develop a framework for assessing and improving self-regulated learning skills in undergraduate computer science through personalized, automated feedback. The project will identify critical self-regulated learning skills that directly impact student academic performance in computing...
- The National Science Foundation Division of Computing and Communication Foundations awarded Virginia Polytechnic Institute & State University $421,351 on August 1, 2026, to develop methods for efficient multilingual large language model development through cross-lingual alignment transfer under the Computer and Information Science and Engineering program (CFDA 47.070). The project addresses computational redundancy in multilingual AI development by reimagining the process as cumulative and...
- The National Science Foundation awarded the University of Virginia $1 million in Project Grant funding on June 1, 2026, to integrate artificial intelligence education into high school classrooms across a three-year effort ending May 31, 2029. This award operates under NSF Technology, Innovation, and Partnerships (CFDA 47.084) and advances Executive Order 14277 on AI education for American youth. The project employs a train-the-trainer model with four core objectives. Twenty high school...
- 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 Virginia Polytechnic Institute & State University $419,700 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop learning-augmented algorithms that combine the reliability of traditional algorithms with the adaptability of machine learning. The project investigates algorithms with predictions—methods that use machine-learned forecasts to improve...
- The National Science Foundation Division of Computer and Network Systems awarded Virginia Polytechnic Institute & State University $449,812 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-enabled modeling, sensing, digital twins, and autonomous control systems for large-area additive manufacturing using laser wire directed energy deposition. The project establishes a cyber-physical systems framework for real-time prediction...
- The National Science Foundation Division of Information and Intelligent Systems awarded Virginia Polytechnic Institute & State University (Virginia Tech) $495,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop foundations for comprehensive integration testing in agentic AI workflow orchestration. The project addresses reliability and safety challenges in autonomous multi-agent AI systems that execute complex workflows in...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $500,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the period August 1, 2025 through July 31, 2028. This initiative develops and delivers an embodied, informal Science, Technology, Engineering, Arts, and Mathematics (STEAM)...
The National Science Foundation Division of Computing and Communication Foundations awarded Virginia Polytechnic Institute & State University (Virginia Tech) $790,509 on October 1, 2026, to develop artificial intelligence-based systems that support instructors managing collaborative learning in large introductory programming courses. The project addresses the challenge of scaling peer instruction—in which students work in groups to solve programming problems, discuss strategies, debug code, and build collaboration skills—across large classes where a single instructor cannot effectively monitor hundreds of groups simultaneously. The AI systems will help instructors identify important collaboration patterns during group work, including participation balance, code progress, help-seeking behavior, discussion quality, and convergence on shared understanding. The systems will enable timely instructor intervention and facilitate whole-class reflections after group work while maintaining instructor control over all teaching decisions. The research proceeds in three stages: identifying which collaboration patterns are most useful to track, studying how instructors prefer to respond when the system detects groups needing support, and measuring the effectiveness of different intervention strategies. The project supports faculty development, reaches local schools through outreach, and aims to prepare students for computing careers requiring collaboration skills. The award is funded under the Computer and Information Science and Engineering program (CFDA 47.070) with a period of performance from October 1, 2026, through September 30, 2029. Work is performed at Virginia Tech's Blacksburg, Virginia location.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $790.5k | 8/11/26 |