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AIoT tool integration for enriching teaching resources and monitoring student engagement

2024; Elsevier BV; Volume: 26; Linguagem: Inglês

10.1016/j.iot.2023.101045

2543-1536

Ricardo Ferreira, Carlos Sabino, Michael Canesche, Omar P. Vilela Neto, José Augusto M. Nacif,

Experimental Learning in Engineering

Internet of Things (IoT) protocols and frameworks provide universal access to powerful computing resources regardless of geographical location or infrastructure limitations. Cloud-based platforms such as Google Colab are highlighted for hosting interactive educational materials and applications. Although Colab offers an interactive environment for various disciplines, there is a need to understand how students interact with computational notebooks. This work introduces an MQTT-based toolkit to measure student engagement during remote exercises. The software framework presented facilitates interactive computational notebooks that use IoT to deliver information and feedback to educators and students in a virtual remote environment. The approach integrates Google Colab, Node-RED, Machine Learning, and MQTT tools, creating an asynchronous interactive learning environment.