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 pedagogically relevant learning scaffolds such as feedback, worked examples, and suggested problems. The research will advance the state-of-the-art in modeling students' problem-solving strategies and algorithmic thinking, with the goal of improving programming knowledge and skills and broadening participation in computing fields. The project will be conducted by the University of Pittsburgh over a 3-year period from January 1, 2025 to December 31, 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $175.3k | 9/10/24 |