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(1810) EXTEND LECTURES FOR KIDS ABOUT INFORMATION INTO SAMPLING THEOREM AND THE FOURIER TRANSFORM

机译:(1810)向孩子们延伸讲座信息,进入采样定理和傅里叶变换

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Computer science education for kids has received considerable attention. However, we can hardly find educational cases for kids in information science, compared to computational science, such as programming. Aiming to develop classes and their materials about information science for kids, the author has tried to develop lectures to deliver core ideas of the Fourier transform, which is an important topic of information science, using the notion of average. However, these lectures did not include the sampling theorem, which plays an important role when we decide the sampling rate when digitizing analog data, and thus it is essential in information science. One of the challenges to incorporate it to lessons for kids is that it is necessary to explain notions of the wave and its frequency while lectures about the Fourier transform itself do not require these notions since the author explains the main idea of it using average. To incorporate the sampling theorem into our lectures, the author tried to explain waves and frequencies by timing. In this paper, the author shares experiences extending already developed lectures so that they include the sampling theorem. One important feature of these lessons is that we have used many hands-on materials. For the sampling theorem, we also use an equipment, called "water pearl", which makes us confuse that droplets of dropping water seem to be climbing up when we see it through flashing light. This is useful when we learn basic ideas of the sampling theorem because this phenomenon happens when two frequencies of dropping and flashing are appropriately selected. In this paper, the author also explain how we use this equipment to explain the sampling theorem.
机译:儿童计算机科学教育受到了相当大的关注。然而,与计算科学相比,我们几乎无法找到儿童教育案例,例如编程。旨在为孩子们开发课程及其材料的信息,作者试图制定讲座,以提供傅里叶变换的核心思想,这是信息科学的一个重要课题,使用平均概念。然而,这些讲座不包括采样定理,当我们在数字化模拟数据时决定采样率时起着重要作用,因此它在信息科学中至关重要。将其纳入儿童课程的挑战之一是,有必要解释波浪及其频率的概念,同时傅里叶变换本身的讲座不需要这些概念,因为提交人使用平均值的主要思想。为了将抽样定理纳入我们的讲座,提交人试图通过定时解释波浪和频率。在本文中,作者分享了已经开发的讲座的经验,以便他们包括抽样定理。这些课程的一个重要特征是我们使用了许多动手材料。对于采样定理,我们还使用称为“水珍珠”的设备,这使得我们将在我们通过闪烁的光线看到时,让我们混淆滴水似乎正在攀升。 This is useful when we learn basic ideas of the sampling theorem because this phenomenon happens when two frequencies of dropping and flashing are appropriately selected.在本文中,作者还解释了我们如何使用此设备来解释采样定理。

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