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Tekniverse: A world that connects signals, data, and people

Published:20 June 2022Publication History

ABSTRACT

This technical demonstration introduces Tekniverse (Figure 1), an end-to-end Internet-of-Things (IoT) toolkit designed for education, targeting middle and high school students as a tool for environmental data literacy. Tekniverse is a learning platform for data driven projects that teaches you how to create a network using physical objects — “things”— that can sense the environment, analyze data and exchange information. Tekniverse blends physical hands-on and “virtual fieldwork” to increase and equalize student resources. These features further cultivate critical thinking and anticipatory skills, acting as a vehicle for students to collaborate.

References

  1. Chakarov, A.G., Bush, J., Biddy, Q.L., Jacobs, J., Elliott, C.H. and Sumner, T., 2021, June. Challenges and Unexpected Affordances of Physical Computing Going Remote. In Interaction Design and Children (pp. 276-282).Google ScholarGoogle Scholar
  2. Sparks, P., 2017. The route to a trillion devices. [online] Available at: <https://community.arm.com/arm-community-blogs/b/internet-of-things-blog/posts/white-paper-the-route-to-a-trillion-devices>[Accessed 5 April 2022].Google ScholarGoogle Scholar
  3. Kortuem, Gerd; Bandara, Arosha; Smith, Neil; Richards, Michael and Petre, Marian (2013). Educating the Internet-of-Things generation. Computer, 46(2) pp. 53-61.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Lechelt, S., Rogers, Y., & Marquardt, N. (2020). Coming to your senses: promoting critical thinking about sensors through playful interaction in classrooms. In Proceedings of the Interaction Design and Children Conference (IDC '20). Association for Computing Machinery, New York, NY, USA, 11-22. 10.1145/3392063.3394401Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    C&C '22: Proceedings of the 14th Conference on Creativity and Cognition
    June 2022
    710 pages
    ISBN:9781450393270
    DOI:10.1145/3527927

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 20 June 2022

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    Overall Acceptance Rate108of371submissions,29%
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