Research on Teaching Reform in IoT Technology and Applications in the Context of Artificial Intelligence——Taking Nanjing University of Posts and Telecommunications as an Example
Within the context of China's 14th Five-Year Plan,enhancing national strategic scientific and technological capabilities and constructing a high-quality education system stand as pivotal tasks,how to combine with the rapid development of artificial intelligence ( AI) to construct a multidisplinary intersection mode for further development of logistics management talent training has become paramount. The logistics management discipline is based on management,logistics,and data analysis,aiming at cultivating composite talents with an international vision and innovative capabilities,and a deep understanding of automated and intelligent logistics management. This paper focuses on the interdisciplinary teaching of the core course"Internet of Things Technology and Applications"in the logistics management program. It explores teaching models based on diversified instruction and systematic theoretical construction and proposes an interdisciplinary teaching mode based on cutting-edge developments in artificial intelligence. This teaching mode enhances students' understanding of the intrinsic structure of complex content,fully leverages the guiding role of instructors. As a result,it effectively improves students' abilities in systematic analysis and problem-solving. The interdisciplinary talents cultivated through this approach are better equipped to address the significant challenges and opportunities in today's logistics industry,making it highly valuable for logistics-related enterprises.
curriculum teaching reforminterdisciplinary courseslogistics managementIoT technology and applicationsdiverse teachingsystematic theoretical construction
万方数据
