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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8880355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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