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The paper presents a pipeline that maps student questions from a conversational AI teaching assistant to curriculum topics using a few-shot text classifier and a GPT-4-extracted prerequisite knowledge graph, achieving 80% accuracy on 1,340 question events and correlating with self-reported difficulty.