This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $196,500 to Purdue University to develop and optimize a digital learning environment called CourseMirror. The project aims to enhance student learning and engagement in large lecture STEM courses by using natural language processing (NLP) algorithms to prompt and scaffold students to create in-depth reflections on their learning experiences. The...
This $900,000 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development of an AI-empowered reflective learning tool for use across virtual, augmented, and physical learning environments. The project, led by Northeastern University, aims to advance people's reflective learning skills through AI-supported prompts, problem-solving tasks, and data-driven detection of learner behaviors and emotions. The research team will create...
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...
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 National Science Foundation (NSF) award under the STEM Education program (CFDA 47.076) provides $254,966 to the University of Pittsburgh to develop, improve, and deploy adaptive learning platform (ALP) lessons and compare them with one-size-fits-all pre-class activities delivered via a learning management system (LMS) across five engineering courses at three institutions. The project aims to examine how prior knowledge from ALP lessons impacts student cognitive and affective outcomes,...
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 $399,988 federal Project Grant award from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program aims to develop and test technology-based interventions to help introductory biology students improve self-regulation and learning. The project, led by the University of Colorado, will engage over 2,000 introductory biology students annually in reflective practices focused on motivation, metacognition, and self-regulation. The interventions will be integrated into a...
The National Science Foundation (NSF) awarded a $250,000 Project Grant under the STEM Education program (CFDA 47.076) to the University of Pittsburgh to conduct collaborative research on enhancing teacher professional learning through AI-enabled formative feedback systems. The project, titled "Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-Enabled Formative Feedback for Job-Embedded Learning", will work with teachers to co-design and test...
This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program, funded under the Comprehensive Federal Assistance Directory Number 47.084, provides $256,000 to Brio Data Group LLC of Norman, Oklahoma. The award period is from June 1, 2022 through February 28, 2023. Under this award, Brio Data Group will develop methods for analyzing learner narratives through machine learning and natural language processing techniques. By digitally mining written...
This Project Grant award for $269,920 from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) will support the development of community-based tools to enhance students' self-regulated learning of parallel programming. The project will focus on engaging students in metacognitive processes to improve their learning of parallel programming concepts. Key activities include developing a...