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  • Clayton Cohn, Nicole Hutchins, Tuan Le
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    Mar 24th, 2024
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    journalArticle
    Clayton Cohn, Nicole Hutchins, Tuan Le
    Mar 24th, 2024

    This paper explores the use of large language models (LLMs) to score and explain short-answer assessments in K-12 science. While existing methods can score more structured math and computer science assessments, they often do not provide explanations for the scores. Our study focuses on employing GPT-4 for automated assessment in middle school Earth Science, combining few-shot and active learning with chain-of-thought reasoning. Using a human-in-the-loop approach, we successfully score and...

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