Project Grant 2517621
- This Project Grant award of $332,468 from the National Science Foundation's STEM Education program (CFDA 47.076) is designed to create classroom activities, tools, and an online library to guide students in developing more robust and personalized analogies to learn computing concepts. The project aims to address challenges in decomposing abstract computing concepts and mapping them to students' personal experiences, with the goal of improving comprehension, confidence, and persistence for...
- This $162,814 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development of conceptual models to improve student learning outcomes in computer science theory courses at the University of Rochester from July 2022 through June 2025. The award aims to study the impact of teaching students to create their own conceptual models of theoretical computing concepts. Researchers will analyze qualitative and quantitative data from student surveys,...
- This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to improve undergraduate computing education by developing an inquiry-based learning tool called TD-Tutor to help students recognize, evaluate, and manage technical debt in software systems. The $262,753 award, with an ultimate completion date of May 31, 2028, will fund the creation, implementation, and evaluation of TD-Tutor across three levels of computing curricula: introductory...
- This $136,123 National Science Foundation project grant aims to improve student learning outcomes in computer science theory courses through the use of conceptual models. Funded under the federal STEM Education program (CFDA 47.076), the grant supports research at Rochester Institute of Technology to study the impact of teaching students how to create their own conceptual models of theoretical computing concepts. The project team will analyze qualitative and quantitative data from student...
- This Project Grant award of $199,994 from the National Science Foundation's STEM Education program (CFDA 47.076) will enhance undergraduate education in artificial intelligence applications at the University of Texas Rio Grande Valley (UTRGV). The funding will secure a GPU computing cluster that will be integrated into core STEM courses in mathematics, statistics, data science, and computer science, benefiting an estimated 1,000 students and 10 faculty annually. The project aims to enrich...
- This $199,820 federal Project Grant award, funded by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076), will enable the University of Texas Rio Grande Valley (UTRGV) to equip undergraduate students with critical computational engineering skills. The project will secure a high-performance computing cluster to support student learning and research in areas such as computational fluid dynamics, finite element analysis, blockchain, and cybersecurity machine learning....
- This National Science Foundation (NSF) STEM Education program (CFDA 47.076) award of $399,724 to the University of Massachusetts Lowell (UMass Lowell) will develop AI-driven educational technology tools to enhance undergraduate computer science learning. Specifically, the project will explore how large language models (LLMs) can be customized to enable personalized, interactive, and reflective learning experiences for STEM students. The project aims to: (1) examine how LLMs can provide...
- This three-year, $349,987 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) supports the University of Houston to understand and mitigate the impacts of code intelligence systems in introductory programming courses. The university will develop infrastructure for students to use intelligent code generation tools in a web development environment. It will then conduct pilot experiments examining effects on student tinkering behaviors and self-efficacy. An...
- This $149,983 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program aims to develop, implement, and evaluate web-based AI-driven classroom simulation tools that will improve evidence-based mathematics teaching practices. The project will create a suite of open-source simulations to support pre-service teachers in fostering rich mathematical discourse in their classrooms. It will also produce open data sets of mathematical dialogue and...
- This $245,975 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop a framework for assessing individual student contributions to team software development projects in undergraduate computing education. The project will create a novel teaching and assessment approach where students compile individual portfolios documenting their completed project tasks and learning outcomes, which are then evaluated by instructors and peers. The...
This Project Grant award of $399,608.00 from the National Science Foundation's STEM Education (CFDA 47.076) program aims to develop an interactive educational tool called "Model-by-Numbers" to improve undergraduate computing education. The project will implement the Alloy modeling language to help students develop the skills needed to model software for verification. Key objectives include cultivating a strong software modeling foundation, enabling students to more easily learn advanced modeling languages, and producing higher quality software as they enter the workforce. The award was made on October 15, 2025 to the University of Texas at Arlington, a Hispanic-Serving and Minority Institution, and is scheduled for completion by September 30, 2028. The project will study the effectiveness of the Model-by-Numbers tool on skill development and student perceptions of learning modeling languages.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $399.6k | 8/20/25 |