Research on Innovative Approaches to Teaching Smart Logistics Courses under the Empowerment of Digital Intelligence

数智技术(人工智能、大数据、物联网、云计算等)的快速发展正推动物流行业向智慧化转型。智慧物流已成为现代物流发展的重要方向和产业升级的关键驱动力。然而，高校智慧物流课程教学在内容、方法、实践和评价等方面与产业发展需求存在差距。本文分析了数智赋能背景下的教学挑战，并基于建构主义、联通主义、体验式学习和情境学习理论，提出了智慧物流课程教学创新的路径，包括重构课程内容、创新教学方法、强化实践平台建设、改革评价体系以及提升教师数智素养。本研究旨在为高校培养符合时代需求的智慧物流人才，服务产业高质量发展提供指导。The rapid development of digital intelligence technologies (such as artificial intelligence, big data, the Internet of Things, and cloud computing) is driving the logistics industry towards a smart transformation. Smart logistics has become a crucial direction for modern logistics development and a key driver for industrial upgrading. However, there is a gap between the teaching of smart logistics courses in universities and the needs of industry development in terms of content, methods, practice, and evaluation. This paper analyzes the teaching challenges in the context of digital intelligence empowerment and proposes innovative approaches to teaching smart logistics courses based on constructivism, connectivism, experiential learning, and situated learning theories. These approaches include restructuring course content, innovating teaching methods, strengthening the construction of practice platforms, reforming evaluation systems, and enhancing teachers’ digital intelligence literacy. This study aims to provide guidance for universities in cultivating smart logistics talents that meet the demands of the times, thereby supporting the high-quality development of the industry.