This study proposes a method for analyzing the level of student engagement in a non-face-to-face learning situation by processing facial expressions. In previous studies, the level of learning engagement was determined through biosignals, such as galvanic skin response feedback. The method proposed in this study assesses engagement levels in an individual education situation by processing emotions revealed through a student's facial expressions in real time. The emotional state revealed through facial expressions can be a useful indicator for assessing the level of immersion in learning. The algorithm proposed in this study is effective because teachers can teach while simultaneously monitoring students' engagement.

中文翻译：

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通过面部表情分析评​​估非面对面学习环境中的参与度

本研究提出了一种通过处理面部表情来分析学生在非面对面学习情况下的参与程度的方法。在之前的研究中，学习参与程度是通过生物信号确定的，例如皮肤电反应反馈。本研究中提出的方法通过实时处理学生面部表情所揭示的情绪来评估个人教育情况下的参与水平。通过面部表情揭示的情绪状态可以作为评估学习沉浸程度的有用指标。本研究中提出的算法是有效的，因为教师可以在教学的同时监控学生的参与度。