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DC Learning Tornado Formation via Collaborative Mixed Reality

机译:DC通过协同混合现实学习龙卷风形成

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With the rise of attention to global warming which brings in more extreme weather and climate conditions, the earth science education would be one of the crucial topics for the next generation. Mixed-Reality has been shown to offer more engaging and effective learning solutions on essential science topics, such as math, physics, and chemistry. However, there are few augmented reality and mixed reality applications on earth science subject. Also, collaborative learning has been shown to be beneficial for student learning by aspiring student curiosity, and the ability of cooperation. In this paper, we propose a Mixed Reality Tornado Simulator which offers an earth science education intervention in a collaborative mixed reality setting. Students and their instructor can wear see-through head-mounted displays to cooperate on learning the knowledge of the formation and its damage cause on human-built structures, farming, and vegetation by using our proposed mixed reality application. Also, for evaluating the learning performance in this mixed reality setting, we will study the students cognitive load using standard survey instruments. We will conduct a controlled study with two conditions to compare the proposed intervention in the head-mounted-display setting, versus a desktop setting to test usability and knowledge gain of the students in those settings.
机译:随着对全球变暖的关注,带来更极端的天气和气候条件,地球科学教育将是下一代的关键主题之一。混合现实已被证明可以为基本科学主题提供更多的参与和有效的学习解决方案,例如数学,物理和化学。然而,在地球科学对象中有很少的增强现实和混合现实应用。此外,通过有吸引学生的好奇心和合作能力,协作学习已被证明是有益的学生学习。在本文中,我们提出了一个混合现实龙卷风模拟器,在协同混合现实环境中提供地球科学教育干预。学生及其教练可以佩戴透视头戴式展示,通过使用我们提出的混合现实应用来学习人工结构,农业和植被的形成及其损坏原因。此外,为了评估这种混合现实环境中的学习表现,我们将使用标准调查仪器研究学生认知负荷。我们将通过两个条件进行受控研究,以比较朝向显示设置的建议干预,而桌面设置以测试这些设置中学生的可用性和知识增益。

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