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  • Xinyi Lu, Xu Wang
    |
    Jul 9th, 2024
    |
    conferencePaper
    Xinyi Lu, Xu Wang
    Jul 9th, 2024

    Evaluating the quality of automatically generated question items has been a long standing challenge. In this paper, we leverage LLMs to simulate student profiles and generate responses to multiple-choice questions (MCQs). The generative students' responses to MCQs can further support question item evaluation. We propose Generative Students, a prompt architecture designed based on the KLI framework. A generative student profile is a function of the list of knowledge components the student has...

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