This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $224,669 to North Carolina State University (NC State) from January 1, 2025 to December 31, 2027. The project will develop and evaluate novel AI-based methods for student modeling to trace students' competencies in computer science education. This includes integrating fine-grained process data to model students' problem-solving strategies, identifying effective and harmful learning patterns, and understanding how learners' interactions with intelligent learning systems impact their competence. The project will then use these insights to develop large language model-based systems that generate more pedagogically relevant learning scaffolds, such as feedback, worked examples, and suggested problems, tailored to individual students' needs. The goal is to enhance the effectiveness and quality of personalized learning in computer science education, ultimately benefiting thousands of students at different levels.
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