An LLM pipeline generates knowledge components for coding problems, enabling KCGen-KT to outperform existing KT methods and human-written KCs on student response prediction across two datasets.
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Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
An LLM pipeline generates knowledge components for coding problems, enabling KCGen-KT to outperform existing KT methods and human-written KCs on student response prediction across two datasets.