Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems

In three linesAutomated LLM-based pipeline to generate and tag knowledge components (KCs) for open-ended programming problems. KCGen-KT framework leverages LLM-generated KCs for knowledge tracing. Evaluation on two real-world student code submission datasets shows it outperforms existing KT methods and human-written KCs on future response prediction.

Summary generated by Claude — human-verified