This Project Grant award, funded by the National Science Foundation's STEM Education (CFDA 47.076) program, aims to develop and evaluate an AI-based learning support system that will automatically build models of students' interests, goals, knowledge, and experiences, and use these models to customize course content posted by instructors to better match the individual learning needs and interests of each student. The $900,000 award, to the University of California, Irvine, will fund the...
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 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 education. The University of Massachusetts Amherst, in collaboration with Carnegie-Mellon University, University of Massachusetts, and North Carolina State University, will receive $149,971 over 3 years to...
This $249,960 Project Grant awarded by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) will fund 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 project, led by North Carolina State University in collaboration with the University of Pittsburgh, Carnegie-Mellon University, and the University of Massachusetts, aims...
This Project Grant award of $298,375.00 from the National Science Foundation's (NSF) Division of Undergraduate Education STEM Education (CFDA 47.076) program aims to design and implement an artificial intelligence (AI)-augmented formative assessment and feedback system. The system will support the development of STEM text summarization and problem-solving skills among students in large, introductory undergraduate physics courses at an urban university serving diverse and underrepresented student...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) in the amount of $175,331 provides funding for a collaborative research project focused on developing and evaluating novel AI-based methods for student modeling to enhance personalized learning in computer science education. The project aims to tailor large language models (LLMs) to adapt instructional support based on students' knowledge state and competencies,...
This Project Grant award, with a total funding amount of $349,999, was provided by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076). The project, titled "Supporting Ambitious and Equitable Science Learning: Leveraging Artificial Intelligence in Developing Multimodal Formative Feedback," aims to investigate the use of artificial intelligence (AI) to design automated feedback for multimodal formative science assessments in K-12 education. The project...
This $250,000 federal Project Grant award was provided by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) to a collaboration between the University of Pittsburgh, Carnegie-Mellon University, University of Massachusetts, and North Carolina State University. The project aims to develop and evaluate a "Comprehensive Personalized Programming Practice Environment (C-3PE)" that utilizes artificial intelligence (AI) to enhance computer science education and...
This $900,000 Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) aims to advance people's skills around reflective learning through the use of AI-supported prompts. The project, led by Northeastern University, will create an AI-empowered reflective learning tool that can be implemented in various technologically enhanced learning and training environments. The key objectives are to deepen critical thinking, accelerate problem-solving...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $199,299 to The Regents of the University of California, doing business as the University of California, Berkeley (UC Berkeley), to develop and evaluate AI-based methods for student modeling to improve personalized learning in computer science education. The project aims to tailor large language models to provide adaptive instructional support by tracing...