Node.js for Development system支持COVID-19期间远程物理实习

I. Irwandi, Ishafit, Nizamuddin, Khairul Umam, Fashbir
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引用次数: 2

摘要

COVID-19大流行期间的社交距离改变了我们教学方式的许多方面。我们习惯于通过视频会议、电子学习和虚拟实验(如PhET交互模拟)来学习。然而,在真实条件下的实验所获得的经验仍然是有趣的,不能被虚拟实验所取代。因此,我们研究了几种更有效和更高效的远程仪器模型和技术。我们的研究结果表明,Node.js运行环境是最合适、最有效的选择,因为Node.js基于开源,所以各种微处理器和各种操作系统都支持它。我们在一个低成本的设备上运行Node.js,树莓派4,Ubuntu 20.10,一个非常熟悉的开源操作系统。此外,Node.js还具有与硬件通信的特性,使得连接实验物理仪器变得非常容易。因为Node.js是基于javascript的,所以它确实非常适合开发基于web的应用程序。我们通过测量线圈产生的磁场成功地进行了初步开发。在测量线圈产生的磁场强度的实验中,学生可以交互控制传感器的运动,并实时看到传感器的运动。实验活动是STEM活动的一部分,所以我们称这个远程实验平台为“remote STEM”,缩写为RSTEM。
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Node.js for Development RSTEM to Support Remote Physics Practicum During COVID-19
Social distancing during the COVID-19 pandemic has changed many things in the way we teach. We are used to learning through video conferencing, e-learning, and virtual experiments such as PhET interactive simulation. However, the experience gained from an experiment in a real condition is still interesting to do and cannot be replaced by a virtual experiment. Therefore, we investigated several remote instrumentation models and technologies that were more effective and more efficient to develop. The results of our research show that the Node.js runtime environment is the most appropriate, effective choice because Node.js is based on open source, so that various microprocessors and various OS support it. We run Node.js on a low-cost device, Raspberry PI 4, with Ubuntu 20.10, a very familiar open-source OS. In addition, Node.js has a feature to communicate with the hardware, making it very easy to connect to experimental physics instrumentation. Because Node.js is based on javascript, it is indeed very suitable for developing web-based applications. We succeeded to carry out initial development through measurements on the magnetic field generated by a coil. Students can interactively control the movement of the sensor and see it in real-time during experiments of measuring the strength of the magnetic field generated by a coil. Experimental activities are part of STEM activities, so we call this remote experimental platform “Remote STEM”, abbreviated as RSTEM.
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