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 $280,000 Project Grant award from the National Science Foundation's STEM Education (CFDA 47.076) program supports the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) at Carnegie Mellon University, University of Pittsburgh, University of Massachusetts, and North Carolina State University. The C-3PE system will utilize artificial intelligence and generative AI to provide personalized learning experiences, recommendations, and feedback for...
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 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) 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 $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...
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 $900,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and evaluation of an AI-based learning support system to provide personalized educational content for large-scale university courses in sustainability science. The key components of the project include: Designing and evaluating a system to interview students about their backgrounds and transform this data into a knowledge graph representation to inform...
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,...