An analysis of IoT technology education based on UIFLOW

dc.contributor.authorVarela-Aldás, José
dc.contributor.authorJunta-Andagama, Christian
dc.contributor.authorBran, Carlos
dc.date.accessioned2024-07-28T20:41:26Z
dc.date.available2024-07-28T20:41:26Z
dc.date.issued2023
dc.description.abstractThe importance of education in new technologies today drives us to continue exploring available options to introduce students to STEAM competencies. This article presents an analysis of satisfaction in the practical education of IoT technology using a block-based programming language. In this case, the UIFlow development environment, compatible with M5Stack kits, is utilized. A graphical interface for the M5Stack Core2 AWS module's screen is designed to enable data transmission to the Thingspeak platform via the MQTT protocol with a 1-second delay. This analysis was conducted during a practical session with a group of 11 industrial engineering students. The collected data includes session runtimes and a satisfaction assessment using the Post-Study System Usability Questionnaire, specifically adapted for this case. The results indicate an overall satisfaction level of 84.7% within the group. The lowest-scoring aspect pertains to the information provided by UIFlow for problem-solving.es
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/10372898
dc.identifier.urihttps://hdl.handle.net/20.500.14809/6914
dc.language.isoenges
dc.publisherProceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023es
dc.rightsopenAccesses
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es
dc.titleAn analysis of IoT technology education based on UIFLOWes
dc.typearticlees

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