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Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips.

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Implementing Internet of Things (IoT) technology in microprocessor labs enhances student learning. This IoT remote laboratory improves task completion rates and overall student performance in microprocessor technology education.

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Area of Science:

  • Engineering
  • Computer Science Education

Background:

  • Microprocessor technology education traditionally relies on physical labs.
  • Integrating virtual and real laboratory experiences presents challenges.
  • Existing methods may limit real-time monitoring and feedback.

Purpose of the Study:

  • To implement Internet of Things (IoT) technology in microprocessor technology teaching.
  • To combine physical and virtual laboratory environments for enhanced learning.
  • To provide teachers with real-time monitoring capabilities of student progress.

Main Methods:

  • Development of an IoT monitoring device for microcontrollers.
  • Data transmission from student microcontroller pins to a central server.
  • Teacher connection to a control application for monitoring student tasks and code.
  • Implementation of a remote laboratory system.

Main Results:

  • Significant improvement in student task completion rates after IoT implementation.
  • Before IoT: 30% failed tasks, 45% solved one, 25% solved two.
  • After IoT: 50% solved two tasks (full number), 10% failed tasks.
  • 53% of students who improved their results completed one to two additional tasks.

Conclusions:

  • The IoT remote laboratory effectively enhances student performance in microprocessor technology.
  • Real-time monitoring and feedback mechanisms improve learning outcomes.
  • The integration of IoT technology bridges the gap between physical and virtual lab experiences.