Exploring the Utilities of the Rationales from Large Language Models to Enhance Automated Essay Scoring
NeutralArtificial Intelligence
A recent study examined how rationales generated by advanced language models like GPT-4 and GPT-5 can improve automated essay scoring. By comparing traditional essay-based scoring with rationale-based scoring using data from the 2012 Kaggle ASAP competition, researchers found that while essay-based scoring generally outperformed rationale-based scoring in overall performance, the latter showed improved accuracy for certain scores. This research is significant as it highlights the potential of AI in educational assessments, paving the way for more nuanced and effective scoring methods.
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