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August 19, 2025Scientific ReportsOpen Access

Discovering action insights from large-scale assessment log data using machine learning

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Authors

MYMinyoung YunMJMinjeong JeonHYHeyoung Yang

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Overview

Novel machine learning approach identifies key actions in performance using action sequences, suggesting implications for multiple fields.

Key Points

  • The methodology enhanced classification accuracy up to 94.6% and silhouette score of 0.491.
  • Key actions were distinguished in performance groups across two problem sets, revealing patterns in behaviors.
  • Using natural language processing with advanced algorithms allows for in-depth analysis of human actions.
  • These findings have potential applications in personalized education, healthcare diagnostics, and understanding consumer behavior.

Cite This Study

Yun et al. (2025) studied this question.

synapsesocial.com/papers/68af494dad7bf08b1ead4cc6https://doi.org/10.1038/s41598-025-14802-6
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