Artificial Intelligence in Teaching Students on Microcontrollers and Embedded Systems

Artificial Intelligence (AI) is increasingly integrated into education to enhance learning experiences and outcomes, particularly in engineering disciplines like microcontrollers and sensors. This paper explores the application of AI in supporting student learning in programming and understanding microcontrollers and sensors and embedded systems, focusing on personalized learning, interactive simulations, and real-time feedback mechanisms. By leveraging AI-driven tools, educators can provide tailored educational experiences that deepen student understanding and proficiency in these critical areas of engineering.