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abstract

Towards Applying Real Time Physiological Data and Gamification to Machine Learning Educational Systems

Published:05 March 2021Publication History

ABSTRACT

In the data age, everyday devices and applications implement machine learning (ML) to enhance user experiences. However, everyday users usually do not completely understand the technology. Moving forward with ML education will require support for new forms of digital literacies involving machine learning. Physiological computing and gamification techniques can present engaging opportunities for dynamic personally-relevant data collection and manipulation. Our research proposes a system design that applies both real-time physiological data and gamification elements to provide novice users the opportunity to learn about ML concepts.

References

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  1. Towards Applying Real Time Physiological Data and Gamification to Machine Learning Educational Systems

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        • Published in

          cover image ACM Conferences
          SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
          March 2021
          1454 pages
          ISBN:9781450380621
          DOI:10.1145/3408877

          Copyright © 2021 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 5 March 2021

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