Xia Li
Intelligent Manufacturing College, Zibo Polytechnic University, Zibo 255300, Shandong, China.
*Corresponding author: Xia Li
Abstract
As artificial intelligence descends toward terminal hardware, the microcontroller (MCU) is evolving from a conventional control device into an intelligent edge node capable of local inference, which places new demands on how the subject is taught. Building on an analysis of the shortcomings of traditional MCU instruction, this paper proposes an integrated teaching model organised around five coordinated elements: AI-enabled smart classrooms, full-cycle project-driven learning, dual-track virtual and physical training, multi-dimensional process assessment, and cross-disciplinary knowledge integration. Four implementation pathways are elaborated—restructuring content into a three-tier progression, redesigning teaching methods around a teacher–machine–student classroom, upgrading practice into a three-stage system spanning simulation and physical hardware, and reforming assessment into a whole-process evaluation—followed by a phased development vision across the short, medium, and long term. By coupling hardware, embedded software, and lightweight AI algorithms, the model seeks to bridge the education chain and the industry chain and offers a transferable reference for the digital-intelligent reform of engineering courses in electronics, automation, and the Internet of Things.
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How to cite this paper
Construction and Implementation of a Microcontroller Teaching Model Integrated with Artificial Intelligence
How to cite this paper: Xia Li. (2026). Construction and Implementation of a Microcontroller Teaching Model Integrated with Artificial Intelligence. Engineering Advances, 6(3), 150-152.
DOI: http://dx.doi.org/10.26855/ea.2026.09.003