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abstract

DIY Smart Home: The Development of an Exemplary Internet of Things Infrastructure for Computer Science Education

Published:15 June 2020Publication History

ABSTRACT

The generic term smart home describes among other things the increase of quality of life, security and reduction of energy consumption in our homes and workplaces through automated processes. These processes enable educators to work up realistic and tangible aspects of computing science using everyday examples. Programming, networks, communication protocols, web design and development, electrical engineering, data science, CAD and even project management can be combined with smart home in terms of content. For this reason, we have used open source tools to develop a cost-effective infrastructure that combines the above-mentioned aspects in a single kit. This kit is based on various in-house developed sensors and actuators based on the ESP8266, a Raspberry Pi as the central unit and Node-RED as the framework for linking the hardware. This hardware can be connected without writing code or previous knowledge, enables a quick experience of success while offering much potential for internal differentiation in teaching.

References

  1. Barry Burd et al. 2018. The Internet of Things in Undergraduate Computer and Information Science Education: Exploring Curricula and Pedagogy. In Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (Larnaca, Cyprus) (ITiCSE 2018 Companion). Association for Computing Machinery, New York, NY, USA, 200--216. https://doi.org/10.1145/3293881.3295784Google ScholarGoogle Scholar

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  1. DIY Smart Home: The Development of an Exemplary Internet of Things Infrastructure for Computer Science Education

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    • Published in

      cover image ACM Conferences
      ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education
      June 2020
      615 pages
      ISBN:9781450368742
      DOI:10.1145/3341525

      Copyright © 2020 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 15 June 2020

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