Project Grant 2125959

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...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant (CFDA 47.070) award of $175,331 will support 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 account for students' knowledge state, learning practices, and interactions with intelligent learning systems in order to generate more...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $199,299 provides funding to The Regents of the University of California, doing business as the University of California, Berkeley (UC Berkeley), to develop and evaluate novel AI-based methods for student modeling and tailored large language models (LLMs) to enhance personalized learning in computer science education. The key objectives are to: (1) integrate...

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 National Science Foundation (NSF) Project Grant awarded to North Carolina State University (NC State) under the STEM Education (CFDA 47.076) program will develop new technologies to improve student learning in machine learning (ML) education. The $226,873 award, effective October 1, 2023 through September 30, 2028, will create automated algorithms to generate personalized feedback, hints, and examples to support students in designing effective ML models, implementing them in code, and...

This three-year, $375,000 project grant from the National Science Foundation's National Center for Science and Engineering Statistics, operating under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will develop tools to analyze process data from computer-based educational assessments and adaptive designs for testing and learning. The Columbia University researchers will focus on statistical learning methods to understand students' cognitive processes using log file data...

This $324,986 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to study the complex help resource landscape available to students in computing courses and how students navigate this landscape. The project, titled "COLLABORATIVE RESEARCH: CHARACTERIZING AND EMPOWERING STUDENT SUCCESS WHEN TRAVERSING THE ACADEMIC HELP LANDSCAPE," has three primary goals: 1) characterize the help resource...

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 $249,960 Project Grant awarded by the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science education. The project, led by North Carolina State University in collaboration with the University of Pittsburgh, Carnegie Mellon University, and the University of Massachusetts, aims to provide...

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...