This $149,971 project grant, awarded by the National Science Foundation (NSF) under the 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 primary awardee, the University of Massachusetts (UMass), will collaborate with Carnegie-Mellon University, University of Massachusetts, and North Carolina State...
This $1.7 million project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will fund the development of a novel AI-powered student support system to improve metacognitive calibration skills at the University of Illinois from August 2022 to July 2025. The project aims to research methods for enhancing students' ability to accurately estimate their own level of knowledge using short, personalized training exercises delivered through a decentralized AI framework....
This Project Grant award from the National Science Foundation (CFDA 47.076 - STEM Education) provides $280,000 to Carnegie Mellon University, the University of Pittsburgh, the University of Massachusetts, and North Carolina State University to develop and evaluate a Comprehensive Personalized Programming Practice Environment (C-3PE) that uses artificial intelligence (AI) to enhance computer science education. The project aims to leverage generative AI and learning science research to provide...
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 (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 $199,503 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program will fund a large-scale, mixed-methods study to understand perceptions and use of artificial intelligence (AI) technologies in K-12 education. The one-year project will survey a nationally representative sample of parents, teachers, and youth to identify opportunities, risks, and supports needed for integrating AI-driven learning tools. The study will employ both...
This $414,995 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop personalized artificial intelligence (AI) systems that can tailor their responses to individual users based on their unique backgrounds and needs. Key objectives include: Gathering a diverse dataset to characterize the types of responses preferred by different people, particularly underrepresented groups. Using this data to...
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 $349,999 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support a research project at the University of North Carolina at Chapel Hill (UNC-CH) to investigate how to design and integrate artificial intelligence (AI) to support equitable K-12 science education. The project plans to explore the use of multimodal AI to provide automated feedback for formative science assessments, with the goal of generating design principles to develop...
This $247,739 federal 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) that utilizes artificial intelligence to enhance computer science education. The project, led by the University of Pittsburgh in collaboration with Carnegie-Mellon University, University of Massachusetts, and North Carolina State University, aims to provide...