Sensor systems have the potential to make abstract science phenomena concrete for K–12 students. Internet of Things (IoT) sensor systems provide a variety of benefits for modern classrooms, creating the opportunity for global data production, orienting learners to the opportunities and drawbacks of distributed sensor and control systems, and reducing classroom hardware burden by allowing many students to “listen” to the same data stream. To date, few robust IoT classroom systems have emerged, partially due to lack of appropriate curriculum and student-accessible interfaces, and partially due to lack of classroom-compliant server technology. In this article, we present an architecture and sensor kit system that addresses issues of sensor ubiquity, acquisition clarity, data transparency, reliability, and security. The system has a dataflow programming interface to support both science practices and computational data practices, exposing the movement of data through programs and data files. The IoT Dataflow System supports authentic uses of computational tools for data production through this distributed cloud-based system, overcoming a variety of implementation challenges specific to making programs run for arbitrary duration on a variety of sensors. In practice, this system provides a number of unique yet unexplored educational opportunities. Early results show promise for Dataflow as a valuable learning technology from research conducted in a high school classroom.

中文翻译：

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现代时代的 Probeware：中学教室的物联网数据流系统设计

传感器系统有可能使 K-12 学生的抽象科学现象具体化。物联网 (IoT) 传感器系统为现代课堂提供了多种好处，为全球数据生产创造了机会，让学习者了解分布式传感器和控制系统的机会和缺点，并通过让许多学生能够“听”相同的数据流。迄今为止，几乎没有出现强大的物联网课堂系统，部分原因是缺乏适当的课程和学生可访问的界面，部分原因是缺乏与课堂兼容的服务器技术。在本文中，我们提出了一种架构和传感器套件系统，可解决传感器普遍性、采集清晰度、数据透明度、可靠性和安全性等问题。该系统有一个数据流编程接口来支持科学实践和计算数据实践，通过程序和数据文件公开数据的移动。物联网数据流系统通过这个基于云的分布式系统支持真实地使用计算工具进行数据生产，克服了各种特定于使程序在各种传感器上运行任意持续时间的实施挑战。在实践中，该系统提供了许多独特但尚未开发的教育机会。早期结果表明，Dataflow 有望成为高中课堂研究中一项有价值的学习技术。物联网数据流系统通过这个基于云的分布式系统支持真实地使用计算工具进行数据生产，克服了各种特定于使程序在各种传感器上运行任意持续时间的实施挑战。在实践中，该系统提供了许多独特但尚未开发的教育机会。早期结果表明，Dataflow 有望成为高中课堂研究中一项有价值的学习技术。物联网数据流系统通过这个基于云的分布式系统支持真实地使用计算工具进行数据生产，克服了各种特定于使程序在各种传感器上运行任意持续时间的实施挑战。在实践中，该系统提供了许多独特但尚未开发的教育机会。早期结果表明，Dataflow 有望成为高中课堂研究中一项有价值的学习技术。