生成式人工智能赋能机械制造技术基础课程的革新与挑战OA

The Fundamentals of Mechanical Manufacturing Technology integrates new sciences,technologies,and processes from the mechanical manufacturing industry,serving as a foundational course for learning mechanical engineering sciences and engaging in research and development of design and manufacturing technologies within the field of mechanical engineering.It holds a significant position in the cultivation of talent in mechanical engineering disciplines.With the rapid advancement of digital technologies,students now expect more flexible,interactive,and personalized learning experiences.However,the traditional"standardized"teaching model of this course is no longer sufficient to meet these expectations.Artificial intelligence,with its capabilities in designing personalized learning paths,providing real-time feedback,automated assessment,and intelligent recommendations,offers new solutions for improving teaching efficiency and learning outcomes in this course.Consequently,this paper explores the transformation of teaching models for the Fundamentals of Mechanical Manufacturing Technology from traditional approaches to intelligent teaching modes,focusing on the profound changes brought about by artificial intelligence in terms of teaching content,methods,and feedback mechanisms.Furthermore,it provides an in-depth analysis of the advantages,challenges,and strategies for addressing the innovative application of generative artificial intelligence in the Fundamentals of Mechanical Manufacturing Technology course.