Embedded Interactive Cubes for STEAM Education: A Low-Cost Wireless System Integrated with a Multisensorial Mobile Laboratory


Abstract:

This study presents the design and functional validation of a programmable embedded system composed of interactive cubes, developed as a technological learning tool for children aged four to six. The system supports STEAM-based education by integrating sensor-based data acquisition, wireless communication, and dynamic LED visualization into a cohesive platform. Each cube incorporates an ESP32 microcontroller and an MPU6050 inertial sensor to detect its orientation in real time. Orientation data is published over Wi-Fi in JSON format, allowing external systems–such as a multisensorial mobile laboratory to retrieve the cube’s state. The cubes also support two display modes: a synchronous mode driven by the Distributed Display Protocol (DDP), and an asynchronous mode showing predefined visual patterns stored in memory. The system was validated in a controlled setting, showing stable operation despite moderate wireless latency. Preliminary trials with children under professional supervision revealed encouraging interaction results. While a full pedagogical study is pending ethical approval, this study establishes the viability of a low-cost, modular solution for early education. The proposed system offers a foundation for future developments in multisensory educational tools, with potential applications in inclusive, therapeutic, and interactive learning environments.

Año de publicación:

2026

Keywords:

  • Education technology
  • interactive device
  • Steam

Fuente:

scopusscopus
orcidorcid

Tipo de documento:

Other

Estado:

Acceso restringido

Áreas de conocimiento:

  • Tecnología educativa
  • Ciencias de la computación
  • Tecnología educativa

Áreas temáticas de Dewey:

  • Escuelas y sus actividades; educación especial
  • Física aplicada
  • Ciencias de la computación
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 4: Educación de calidad
  • ODS 17: Alianzas para lograr los objetivos
  • ODS 9: Industria, innovación e infraestructura
Procesado con IAProcesado con IA