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Utilizing Eye Tracking to Improve Learning from Examples

机译:利用眼踪跟踪来改善示例的学习

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In recent year, eye tracking has been used in many areas such as usability studies of interfaces, marketing, and psychology. Learning with computer-based educational systems relies heavily on students’ interactions, and therefore eye tracking has been used to study and improve learning. We have recently conducted several studies on using worked examples in addition to tutored problem solving. In this paper we discuss how we used eye-tracking data to compare behaviors of novices and advanced students while studying examples. We propose a new technique to analyze eye-gaze patterns named EGPA. In order to comprehend SQL examples, students require information available in the database schema. We analyzed students’ eye movement data from different perspectives, and found that advanced students paid more attention to database schema than novices. In future work, we will use the outcomes of this study to provide proactive feedback.
机译:近年来,眼睛跟踪已被用于许多领域,例如接口,营销和心理学的可用性研究。使用基于计算机的教育系统的学习严重依赖于学生的互动,因此用于研究和改善学习的眼睛跟踪。除了辅导问题解决之外,我们最近还对使用工作实例进行了几项研究。在本文中,我们讨论了我们如何在学习示例时比较新手和高级学生的行为来比较新手和高级学生的行为。我们提出了一种分析名为EGPA的眼睛凝视图案的新技术。为了理解SQL示例,学生需要在数据库模式中提供的信息。我们分析了学生的眼球运动数据,从不同的角度来看,发现高级学生更多地关注数据库模式而不是新手。在未来的工作中,我们将使用本研究的结果提供积极主动的反馈。

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