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Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips


Patrik Jacko

Matej Bereš

Irena Kováčová

Ján Molnár

Tibor Vince

Jozef Dziak

Patrik Jacko

Matej Bereš

Irena Kováčová

Ján Molnár

Tibor Vince

Jozef Dziak

Dobroslav Kováč
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.
- Technical University of Košice Slovakia
- Technical University of Košice Slovakia
IoT, education, STM32, Chemical technology, TP1-1185, remote laboratory, microcontroller, Humans, Arm Cortex-M, Laboratories, Students, Monitoring, Physiologic
IoT, education, STM32, Chemical technology, TP1-1185, remote laboratory, microcontroller, Humans, Arm Cortex-M, Laboratories, Students, Monitoring, Physiologic
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).23 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% 87 readers on Mendeley
