基于自我导向学习的物流管理类专业“统计学”课程教学设计研究

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ResearchontheDesignof StatisticsCourseTeachingforLogisticsManagementMajorsBasedonSelf-directedLearning

CHU Yongjie， SU Chong（SchoolofManagement，NanjingUniversityofPostsandTelecommunications，Nanjing21ooo3，China）

中图分类号：F272；G642 文献标志码：ADOI： 10.13714/j.cnki.1002-3100.2025.09.044

Abstract：Against the backdropof the "internet+" era，the education model of logistics management majors urgently needs innovation to meet the rapidly evolving industry demands. This paper aims to explore and reform the teaching methods of the "Statistics" course for logistics management majors， tailored to the characteristics of students in these programs. Based onthe Staged Self-Directed Learning （SSDL） model，a series of innovativeteaching strategies are proposed. These include intuitive teaching aids in the initial stage，case studies in the developmental stage，project-based learning in the mature stage，and independent research projects in the self-directed stage. The proposed teaching reform plan not only enhances the statistical application skills of logistics management students but also provides a reference for higher education teaching reform.

Key words： self-directed learning; logistics management; statisticsteaching;internetteachingresources

0引言

随着信息技术的快速发展，数据驱动已经成为物流管理发展的主要趋势。（剩余5497字）