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As an important part of digital education, online autonomous learning is expanding its application scope and depth. However, the abnormal learning behaviors associated with it are increasing day by day. Allowing this behavior to develop is obviously harmful to the healthy development of online learning. This paper attempts to put forward a solution of monitoring characteristic index of abnormal learning behavior in online learning system based on unsupervised learning technology, which is used to support the analysis of abnormal data in online learning and to support normal teaching activities.

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Construction and Application of Threshold Judgment Abnormal Learning Behavior Monitoring Model Based on Unsupervised Learning Technology

  • 会议论文

  • 发表日期：

    2025年

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  • Fengze Wang,
  • Jing Wang

摘要

As an important part of digital education, online autonomous learning is expanding its application scope and depth. However, the abnormal learning behaviors associated with it are increasing day by day. Allowing this behavior to develop is obviously harmful to the healthy development of online learning. This paper attempts to put forward a solution of monitoring characteristic index of abnormal learning behavior in online learning system based on unsupervised learning technology, which is used to support the analysis of abnormal data in online learning and to support normal teaching activities.