Exploring AI-Enabled Pathways and Innovations for Cultivating Application-Oriented Talents
-- Taking MCU Teaching as an Example
DOI:
https://doi.org/10.54097/7mn82p39Keywords:
MCU Teaching, Application-Oriented Talent, AI Empowerment, Personalized InstructionAbstract
Against the backdrop of the rapid development of artificial intelligence technology and the increasing prevalence of microcontroller unit (MCU) technology, traditional teaching models are struggling to meet the current societal demands for the cultivation of application-oriented talents. This paper takes MCU teaching as an example to delve into the challenges in the current cultivation of application-oriented talents and the new opportunities brought about by AI empowerment. It elaborates on the innovative application pathways of AI technology in key aspects of MCU education, such as teaching, practical training, and capability evaluation. By constructing an AI-empowered MCU talent cultivation model, it achieves personalized teaching, intelligent practical guidance, and precise capability assessment, effectively enhancing students' comprehensive quality and innovative abilities in MCU system design and application development. The research results indicate that the AI-empowered educational model can significantly improve the efficiency and quality of MCU talent cultivation, providing new ideas and methods for the principles of MCU and the cultivation of application-oriented talents. It holds significant theoretical value and practical significance for promoting educational modernization and aiding industrial upgrading.
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