Project Grant 2313793

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $400K
Funding Federal Agency
National Science Foundation
Federal Grant Program
47.076
Assistance Type
Project Grant
Place of Performance
Riverside, CA 92521, USA
Similar Awards
This $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) to the University of California, San Diego (UCSD) aims to redesign an introductory computer science (CS1) course to teach programming with the aid of large language model (LLM) AI assistants. The key goals are to: 1) Redesign the CS1 course to emphasize skills like code reading, testing, and problem decomposition rather than just syntax and writing code from scratch; 2) Study how...
This $300,000 federal Project Grant award from the National Science Foundation's (NSF) STEM Education (CFDA 47.076) program aims to develop a course that teaches computer science students how to work with and comprehend large code bases. The project, awarded to the University of California, San Diego (UC San Diego), is designed to address the "academia-industry gap" where new computer science graduates are often underprepared for contributing to large, existing software code bases in...
The University of California, San Diego was awarded a $299,973 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) to determine the effectiveness of live coding on student learning in introductory programming. The project will assess how live coding, where instructors demonstrate programming live in front of students, impacts student comprehension, engagement and performance in gateway computer science courses from January 2021 through December 2023. As...
The National Science Foundation (NSF) awarded Utah State University a $349,847 Project Grant under the STEM Education (formerly Education and Human Resources) CFDA program. The grant will fund a 3-year research project to investigate students' keystroke patterns as they work on Python programming assignments in introductory computer programming courses. The project aims to develop targeted intervention strategies that help struggling students succeed, while also advancing educational research...
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 $200,000 Project Grant awarded by the National Science Foundation's STEM Education (CFDA 47.076) program aims to enhance learning and motivation in introductory programming courses at Georgia Gwinnett College, a Hispanic-serving institution. The key products and services to be delivered include: Integrating research-supported pedagogies and automated tools to accommodate diverse learning styles, including hiring and mentoring a diverse group of peer tutors and producing a video library to...
This $199,299 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will develop and evaluate novel AI-based methods to model students' competencies in computer science education. The research aims to tailor large language models to provide personalized and pedagogically-relevant learning scaffolds, such as feedback, examples, and suggested problems, based on students' problem-solving strategies and learning...
This $224,669 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop advanced artificial intelligence (AI) methods for personalized learning in computer science education. The award will enable North Carolina State University to: Integrate fine-grained student performance data to model students' problem-solving strategies and competencies at varying levels of abstraction....
This National Science Foundation award under the STEM Education program (CFDA 47.076) provides $238,468 to Utah State University to conduct research on how novice computer programming students write code. The project aims to analyze students' coding processes using keystroke data to understand how they problem-solve and develop programming skills. The research team plans to develop models of student thinking and programming practices, identifying best practices that can be adopted to improve...
The National Science Foundation awarded Michigan Technological University a $616,008 Project Grant under the federal STEM Education program (CFDA 47.076) to develop an automated coding feedback system called WEBTA. The system aims to provide rich, immediate feedback to students in introductory programming courses on common errors or "antipatterns" to significantly improve learning outcomes and coding skills. With rapidly increasing class sizes and instructor shortages, manually...

This $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education (CFDA 47.076) program supports the development of automated methods to reward students for following a good programming process when writing computer programs. The project at the Regents of the University of California at Riverside aims to create Python scripts that can automatically award points to students based on their demonstrated behaviors, such as starting early, spending sufficient time, writing programs incrementally, and thoroughly testing their code. The goal is to understand how such automated positive reinforcement can incentivize good programming practices, improve student metacognition, and ultimately enhance their success in computer programming courses. The 3-year project intends to leverage cloud-based programming learning environments to capture and analyze students' coding behaviors, with plans to make the resulting techniques available to programming instructors nationwide.

Generated 8/13/24, 7:35 AM