This workshop paper presents Platypus, an integrated educational platform currently under development that combines Internet of Things (IoT) and Augmented Reality (AR) to deliver gamified STEM education. The platform is designed to provide educators with a modular, replicable toolkit for deploying immersive, hands-on labs built around downloadable didactic games. It also enables the ethical, privacy-aware collection of empirical data and on-edge metrics that can support rigorous research in technology-enhanced learning. The platform comprises: a reconfigurable swarm of IoT nodes, an interactive physical-digital player interface, a Game Master to orchestrate activities and sessions, and an Edge Analytics Engine. In this workshop contribution, we detail the platform architecture and the evaluation protocol planned for future empirical studies, which will be reported in a dedicated follow-up publication.

Platypus: an edge-based gamified educational platform for IoT learning / Bramante, S., Ferrandino, F., Cilardo, A.. - (2026), pp. 674-679. (MetroInd4.0 and IoT 2026 - 9th IEEE International Workshop on Metrology for Industry 4.0 and IoT Rome, Italy 10-12/06/2026) [10.1109/metroind4.0iot69397.2026.11653068].

Platypus: an edge-based gamified educational platform for IoT learning

Bramante Salvatore;
2026

Abstract

This workshop paper presents Platypus, an integrated educational platform currently under development that combines Internet of Things (IoT) and Augmented Reality (AR) to deliver gamified STEM education. The platform is designed to provide educators with a modular, replicable toolkit for deploying immersive, hands-on labs built around downloadable didactic games. It also enables the ethical, privacy-aware collection of empirical data and on-edge metrics that can support rigorous research in technology-enhanced learning. The platform comprises: a reconfigurable swarm of IoT nodes, an interactive physical-digital player interface, a Game Master to orchestrate activities and sessions, and an Edge Analytics Engine. In this workshop contribution, we detail the platform architecture and the evaluation protocol planned for future empirical studies, which will be reported in a dedicated follow-up publication.
2026
979-8-3315-5156-8
Augmented Reality
Edge Computing
Education 5.0
Gamification
Internet of Things
Learning Analytics
TinyML
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11771/45018
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