创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (7): 83-86.

• 教育改革与发展 • 上一篇    下一篇

数智驱动物流管理专业实践教学体系优化

葛彩红   

  1. 西安财经大学行知学院 管理学院,陕西西安 710071
  • 出版日期:2026-04-10 发布日期:2026-07-01
  • 作者简介:葛彩红(1989—),女,山东菏泽人,在读博士研究生,讲师,研究方向:物流与供应链管理。
  • 基金资助:
    陕西省教育科学规划课题“数智赋能应用型本科物流管理专业实践教学体系研究”(SGH24Y2388); 西安财经大学行知学院2025年度校级教育教学改革课题“顺丰创新实验班人才培养模式改革与实践探索”(25JY41)

Optimization of Practical Teaching System for Logistics Management Major Driven by Digital Intelligence

GE Caihong   

  1. School of Management, Xingzhi College of Xi'an University of Finance and Economics, Xi'an Shaanxi, 710071, China
  • Online:2026-04-10 Published:2026-07-01

摘要: 随着数字化、智能化技术的深度融合发展,传统物流管理专业实践教学体系面临着转型升级的迫切需求。数智技术在物流管理教育领域的深度应用,为构建新型实践教学体系提供了技术支撑和发展契机。该文通过分析数智环境下物流管理专业人才培养的新特点和新要求,探讨数智技术与物流管理实践教学深度融合的路径,构建数据驱动、智能导向的实践教学新模式;结合虚实融合的教学场景设计、项目导向的实践教学模式、数字仿真平台构建等关键要素,形成产教融合的数智化物流管理实践教学体系,有效提升了学生的实践能力、创新思维和职业适应性,为培养适应数智时代发展需求的高素质物流管理人才提供有力保障。

关键词: 数智驱动, 物流管理, 实践教学体系, 教学优化, 产教融合, 数字仿真平台

Abstract: With the deep integration and development of digitalization and intelligent technologies, the traditional practical teaching system for logistics management majors faces an urgent need for transformation and upgrading. The deep application of digital intelligence technology in the field of logistics management education provides technical support and development opportunities for constructing a new practical teaching system. By analyzing the new characteristics and requirements of talent cultivation for logistics management majors in the digital intelligence environment, this paper explores the deep integration path between digital intelligence technology and logistics management practical teaching, and constructs a new practical teaching model driven by data and guided by intelligence. Combined with key elements such as virtual-real integrated teaching scenario design, project-oriented practical teaching model, and digital simulation platform construction, this study forms an industry-education integrated digital intelligence logistics management practical teaching system, effectively improving students'practical abilities, innovative thinking, and professional adaptability, providing strong guarantee for cultivating high-quality logistics management talents who meet the development needs of the digital intelligence era.

Key words: Digital intelligence driven, Logistics management, Practical teaching system, Teaching optimization, Industry-education integration, Digital simulation platform

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