Digital Transformation and Teaching Innovation of Mechanical Engineering Courses under the Background of Intelligent Manufacturing

With the rapid development of smart manufacturing technologies, the digital transformation of intelligent manufacturing courses in higher education has become a significant focus. This paper explores the digital transformation of intelligent manufacturing courses, analyzing the current challenges, practical applications, and key success factors. By examining the experiences of both domestic and international universities, the study highlights the integration of cutting-edge technologies such as artificial intelligence, robotics, and big data, as well as the importance of industry collaboration in enhancing practical learning. The paper also discusses the role of innovative teaching methods, including project-based learning (PBL) and flipped classrooms, in fostering student engagement and preparing them for the evolving smart manufacturing industry. The findings suggest that for successful digital transformation, universities must continuously update course content, adopt flexible teaching methods, and collaborate with industry partners to ensure students are equipped with the skills necessary for the future of manufacturing.