An automated LLM pipeline derives interpretable behavioral traits from human-AI coding conversations, and those traits modestly improve outcome prediction in both student and professional settings.
The StudyChat dataset: Analyzing student dialogues with ChatGPT in an artificial intelligence course
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Principal Trait Analysis: Towards Deriving "Skills" in Human-AI Collaboration
An automated LLM pipeline derives interpretable behavioral traits from human-AI coding conversations, and those traits modestly improve outcome prediction in both student and professional settings.