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This study develops an indicator for quantitative evaluation of drawing work. Since 2012, an online drawing support system has been used at an art school in Japan to provide a three-month digital drawing class each year using a digital pen to record stroke data. In this study, we investigate stroke shapes to support drawing learning by evaluating stroke quality. We use a self-organizing feature map to classify stroke data and propose a growth indicator called variation rate (VR). We present VR generalization results, apply VR-based evaluation to eight years of drawing results, and discuss VR-based learning support possibilities for our online system.

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Proposal of an Educational Growth Indicator Using the Quality of Strokes in Drawing Works

  • 会议论文

  • 发表日期：

    2025年

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  • Kanato Sugii,
  • Takashi Nagai,
  • Mizue Kayama

摘要

This study develops an indicator for quantitative evaluation of drawing work. Since 2012, an online drawing support system has been used at an art school in Japan to provide a three-month digital drawing class each year using a digital pen to record stroke data. In this study, we investigate stroke shapes to support drawing learning by evaluating stroke quality. We use a self-organizing feature map to classify stroke data and propose a growth indicator called variation rate (VR). We present VR generalization results, apply VR-based evaluation to eight years of drawing results, and discuss VR-based learning support possibilities for our online system.