Project Grant 2222228
Award Date
9/1/22
Completion Date
8/31/24
Dollars Obligated
$386K
Federal Agency
Division of Graduate Education
Federal Grant Program
47.076
Assistance Type
Project Grant
Place of Performance
Newark, DE 19716, USA
Similar Awards
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...
The National Science Foundation (NSF) awarded a $187,590 Project Grant under the STEM Education (CFDA 47.076) program to the University of Illinois Urbana-Champaign and Kansas State University. This collaborative research project aims to analyze the impacts of state policies on computer science (CS) education participation and teacher preparation nationwide. The researchers will combine data on the timing of state CS education policy adoptions with longitudinal data on high school CS...
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 $899,799 federal Project Grant awarded by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) aims to explore the use of generative AI to reduce instructor workload and improve student learning in introductory computer science courses. The project, titled "Learner-Adaptive, Pedagogical, Interactive Solutions for Using Generative AI to Support Students in Introductory Computer Science Courses," will develop the LAPIS system to provide real-time,...
This Project Grant award of $996,598 from the National Science Foundation's STEM Education program (CFDA 47.076) will support the University of Denver in providing scholarships and academic programming to increase the retention and graduation of high-achieving, low-income students pursuing bachelor's degrees in computer science. Over the six-year project period from April 2025 to March 2031, the award will provide four-year scholarships to 19 full-time students to address their financial needs...
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 National Science Foundation project grant of $1,283,565 will fund the development of an AI-driven classroom assistant called Insight to transform introductory computer science instruction from 2023-2027. Under the federal STEM Education program (CFDA 47.076), North Carolina State University will design, develop, and refine Insight to provide real-time adaptive feedback and coding analytics to both students and instructors. The university will collaborate with computer science courses at...
This $374,120 Project Grant award from the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) aims to characterize the help resource landscape available to students in computing courses and understand how students from different backgrounds seek and utilize these resources. The project at North Carolina State University (NC State) has three primary goals: 1) Describe the current help resource landscape in computing courses, 2) Understand students' help-seeking...
This $246,900 National Science Foundation project grant supports the development of reflection exercises and vignettes to promote professional dispositions among undergraduate computing students. Awarded under the Science, Technology, Engineering, and Mathematics Education program (CFDA 47.076), the grant involves faculty from four institutions collaborating over two years to design and study exercises asking students to explain how they have demonstrated behaviors like persistence and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant award (CFDA 47.070) of $224,669 to North Carolina State University supports the development and evaluation of novel AI-based methods for student modeling to trace students' competencies in computer science education. The project aims to tailor large language models (LLMs) to generate personalized learning scaffolds - such as feedback, worked examples, and suggested next problems - that...