Comprehensive Enhancement of the "Materials Micro-characterization Techniques" Course for Manufacturing Talent Cultivation Assisted by Artificial Intelligence
Abstract
This paper aims to conduct an in-depth reform and development of practical teaching assisted by Artificial Intelligence (AI) for the core course "Materials Micro-characterization Techniques," targeted at postgraduate and senior undergraduate students. Focusing specifically on the "Electron Microscopy" module within the course, it strives to promote a systematic upgrade from teaching philosophy to practical training, strengthening the deep integration of theory and practice. The core objective is to address the current disconnection between theory and industrial practice in electron microscopy education, fostering a shift in student competency development from knowledge acquisition towards problem-solving. This effectively enhances the employment competitiveness of our graduates within the high-end manufacturing sector and actively responds to the urgent demand for electron microscopy professionals in local and national high-tech industries. A significant expected outcome following the comprehensive enhancement of the course is to support each student in completing a research paper meeting the standard for academic publication.
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