Project Grant 2418656

Award Date 9/1/24
Completion Date 8/31/27
Dollars Obligated $280K
Federal Grant Program
47.076
Assistance Type
Project Grant
Place of Performance
Pittsburgh, PA 15213, USA
Similar Awards
This federal Project Grant award, funded 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 University of Pittsburgh, Carnegie-Mellon University, University of Massachusetts, and North Carolina State University will collaborate on this $247,739 project to create...
This $249,960 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development and evaluation of a "Comprehensive Personalized Programming Practice Environment (C-3PE)" led by North Carolina State University, in collaboration with the University of Pittsburgh, Carnegie-Mellon University, and the University of Massachusetts. The project aims to enhance computer science education by leveraging artificial intelligence (AI) and...
This $149,971 Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) supports the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science learning experiences. The University of Massachusetts, along with partners from Carnegie-Mellon University, University of Pittsburgh, and North Carolina State University, will create C-3PE to...
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 $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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $175,331 provides funding from January 1, 2025 to December 31, 2027 to the University of Pittsburgh 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 project aims to: (1) model students' competencies related to problem-solving strategies...
Carnegie Mellon University was awarded a $847,832 project grant from the National Science Foundation Division of Research on Learning in Formal and Informal Settings. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the three-year award beginning October 1, 2021, Carnegie Mellon University will develop...
This $300,841 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will support Carnegie Mellon University to develop and research an artificial intelligence (AI) across the curriculum program for high school students. Over three years, the university team will create introductory and advanced AI modules for mathematics, English language arts, and history. They will also design $60k in professional development for 12 teachers to implement the modules across...
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 $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 $280,000 federal Project Grant award from 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 team, led by Carnegie Mellon University in collaboration with the University of Pittsburgh, University of Massachusetts, and North Carolina State University, will create an AI-powered learning environment that provides personalized recommendations and feedback to computer science students based on their individual knowledge levels and learning progress. The C-3PE system will dynamically model student knowledge using AI-driven algorithms and offer tailored practice activities and guidance. Through long-term classroom studies, the team will assess the impact of these AI-based personalization approaches and identify the most effective learning materials and feedback for students at different competency levels. The project aims to deliver engaging, personalized computer science learning experiences that leverage advancements in AI and learning science.

Generated 5/13/25, 4:00 AM