Games and toys that introduce coding have become popular for teaching computational thinking to children. In this paper, we present an affordable platform for the development of educational experiences for children utilizing a tangible user interface. This novel system was conceived by a computer scientist and a digital media and design expert. Although engaging technology is often expensive, software platforms that target low-cost computers can promote equity by broadening access to engaging learning experiences. Our system utilizes computer vision algorithms to detect printed visual markers and requires only a computer, a camera, and paper. The system is optimized for low-cost computers and easily runs on the Raspberry Pi 4. A card-based coding game is presented as a prototype application. We evaluate the coding game in the context of an embodied learning design framework developed by Meltzer and Isbister, and present the results of a pilot study on user preferences for a vertical versus horizontal command card layout within the coding game. The coding game is analyzed in the context of the design framework as well as several other prospective learning games. These proposed applications provide insight into the creative application of the system’s capabilities and showcase its potential to target a broad range of the framework’s design space.

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An Equitable Early Childhood Learning Platform for Designing a Range of Tangible and Embodied Learning Experiences with a Tangible Coding Game Prototype

  • Paul W. Bible,
  • Pushpita Saha,
  • Matthew Furber

摘要

Games and toys that introduce coding have become popular for teaching computational thinking to children. In this paper, we present an affordable platform for the development of educational experiences for children utilizing a tangible user interface. This novel system was conceived by a computer scientist and a digital media and design expert. Although engaging technology is often expensive, software platforms that target low-cost computers can promote equity by broadening access to engaging learning experiences. Our system utilizes computer vision algorithms to detect printed visual markers and requires only a computer, a camera, and paper. The system is optimized for low-cost computers and easily runs on the Raspberry Pi 4. A card-based coding game is presented as a prototype application. We evaluate the coding game in the context of an embodied learning design framework developed by Meltzer and Isbister, and present the results of a pilot study on user preferences for a vertical versus horizontal command card layout within the coding game. The coding game is analyzed in the context of the design framework as well as several other prospective learning games. These proposed applications provide insight into the creative application of the system’s capabilities and showcase its potential to target a broad range of the framework’s design space.