2 resources

  • Joy He-Yueya, Noah D. Goodman, Emma Brun...
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    May 6th, 2024
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    preprint
    Joy He-Yueya, Noah D. Goodman, Emma Brun...
    May 6th, 2024

    Creating effective educational materials generally requires expensive and time-consuming studies of student learning outcomes. To overcome this barrier, one idea is to build computational models of student learning and use them to optimize instructional materials. However, it is difficult to model the cognitive processes of learning dynamics. We propose an alternative approach that uses Language Models (LMs) as educational experts to assess the impact of various instructions on learning...

  • Joy He-Yueya, Wanjing Anya Ma, Kanishk G...
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    Jul 22nd, 2024
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    preprint
    Joy He-Yueya, Wanjing Anya Ma, Kanishk G...
    Jul 22nd, 2024

    Language models (LMs) are increasingly used to simulate human-like responses in scenarios where accurately mimicking a population's behavior can guide decision-making, such as in developing educational materials and designing public policies. The objective of these simulations is for LMs to capture the variations in human responses, rather than merely providing the expected correct answers. Prior work has shown that LMs often generate unrealistically accurate responses, but there are no...

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