Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips

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.