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Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips

The article describes the implementation of IoT technology in the teaching of microprocessor technology. The method presented in the article combines the reality and virtualization of the microprocessor technology laboratory. A created IoT monitoring device monitors the students’ microcontroller pin...

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Autores principales: Jacko, Patrik, Bereš, Matej, Kováčová, Irena, Molnár, Ján, Vince, Tibor, Dziak, Jozef, Fecko, Branislav, Gans, Šimon, Kováč, Dobroslav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880355/
https://www.ncbi.nlm.nih.gov/pubmed/35214343
http://dx.doi.org/10.3390/s22041440
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author Jacko, Patrik
Bereš, Matej
Kováčová, Irena
Molnár, Ján
Vince, Tibor
Dziak, Jozef
Fecko, Branislav
Gans, Šimon
Kováč, Dobroslav
author_facet Jacko, Patrik
Bereš, Matej
Kováčová, Irena
Molnár, Ján
Vince, Tibor
Dziak, Jozef
Fecko, Branislav
Gans, Šimon
Kováč, Dobroslav
author_sort Jacko, Patrik
collection PubMed
description The article describes the implementation of IoT technology in the teaching of microprocessor technology. The method presented in the article combines the reality and virtualization of the microprocessor technology laboratory. A created IoT monitoring device monitors the students’ microcontroller pins and sends the data to the server to which the teacher is connected via the control application. The teacher has the opportunity to monitor the development of tasks and student code of the program, where the functionality of these tasks can be verified. Thanks to the IoT remote laboratory implementation, students’ tasks during the lesson were improved. As many as 53% (n = 8) of those students who could improve their results achieved an improvement of one or up to two tasks during class. Before the IoT remote laboratory application, up to 30% (n = 6) of students could not solve any task and only 25% (n = 5) solved two tasks (full number of tasks) during the class. Before implementation, 45% (n = 9) solved one problem. After applying the IoT remote laboratory, these numbers increased significantly and up to 50% (n = 10) of students solved the full number of tasks. In contrast, only 10% (n = 2) of students did not solve any task.
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spelling pubmed-88803552022-02-26 Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips Jacko, Patrik Bereš, Matej Kováčová, Irena Molnár, Ján Vince, Tibor Dziak, Jozef Fecko, Branislav Gans, Šimon Kováč, Dobroslav Sensors (Basel) Article The article describes the implementation of IoT technology in the teaching of microprocessor technology. The method presented in the article combines the reality and virtualization of the microprocessor technology laboratory. A created IoT monitoring device monitors the students’ microcontroller pins and sends the data to the server to which the teacher is connected via the control application. The teacher has the opportunity to monitor the development of tasks and student code of the program, where the functionality of these tasks can be verified. Thanks to the IoT remote laboratory implementation, students’ tasks during the lesson were improved. As many as 53% (n = 8) of those students who could improve their results achieved an improvement of one or up to two tasks during class. Before the IoT remote laboratory application, up to 30% (n = 6) of students could not solve any task and only 25% (n = 5) solved two tasks (full number of tasks) during the class. Before implementation, 45% (n = 9) solved one problem. After applying the IoT remote laboratory, these numbers increased significantly and up to 50% (n = 10) of students solved the full number of tasks. In contrast, only 10% (n = 2) of students did not solve any task. MDPI 2022-02-13 /pmc/articles/PMC8880355/ /pubmed/35214343 http://dx.doi.org/10.3390/s22041440 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jacko, Patrik
Bereš, Matej
Kováčová, Irena
Molnár, Ján
Vince, Tibor
Dziak, Jozef
Fecko, Branislav
Gans, Šimon
Kováč, Dobroslav
Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips
title Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips
title_full Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips
title_fullStr Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips
title_full_unstemmed Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips
title_short Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips
title_sort remote iot education laboratory for microcontrollers based on the stm32 chips
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880355/
https://www.ncbi.nlm.nih.gov/pubmed/35214343
http://dx.doi.org/10.3390/s22041440
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