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Using Eye Gaze Data to Explore Student Interactions with Tutorial Dialogues in a Substep-Based Tutor

机译:在基于分步的导师中,使用视线数据探索学生与教程对话的互动

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We used eye gaze data to investigate student interactions with tutorial dialogues in EER-Tutor. The results show that tutorial dialogues are effective as they enable students to correct their mistakes. However, some students do not take advantage of opportunities to reflect on what they have learnt. We identify several possible improvements to EER-Tutor, as well as future directions of work on using eye-tracking for on-line adaptation.
机译:我们使用视线数据调查了EER-Tutor中学生与教程对话的互动。结果表明,教程对话是有效的,因为它们使学生能够纠正自己的错误。但是,有些学生没有利用机会反思自己学到的东西。我们确定了对EER-Tutor的一些可能改进,以及使用眼动追踪进行在线适应的未来工作方向。

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