Reform of the Teaching Mode of Logistics Engineering Courses Under the Background of Artificial Intelligence

With the rapid development of Artificial Intelligence (AI) technology, its application in the field of education is becoming more and more widespread, especially in interdisciplinary curriculum reform shows great potential. This paper takes the core course “Internet of Things (IoT) Technology and Intelligent Logistics” in logistics engineering as a case study, analyzing its current status and discussing the impact of the deep integration of artificial intelligence (AI) and Internet of Things (IoT) technology on the optimization of the teaching mode. The proposal entails the integration of AI-driven case teaching and the establishment of an interdisciplinary knowledge system, encompassing cross-disciplinary teaching content founded on state-of-the-art AI technologies and a blended teaching modality combining project-based learning and problem-driven learning. The effectiveness of this novel teaching mode in enhancing students’ practical ability and interdisciplinary thinking is then verified. This study provides a practical reference for the construction of interdisciplinary courses in colleges and universities empowered by artificial intelligence, and emphasizes the key role of technology integration in cultivating composite talents. The cultivation of such talents is pivotal in effectively addressing the significant challenges and opportunities currently facing the logistics industry, a development that is of considerable significance to enterprises operating within the logistics sector.