王睿

摘 要：随着人工智能时代的到来，物流管理专业人才培养面临着新的挑战。文章以人工智能、数据结构与算法为核心，深入研究其教学内容，致力于培养具备智慧物流素养的专业人才。文章分析了课程现状，关注知识结构、教学模式以及逻辑思维。为了提升学生的学习动力和培养计算思维，提出了教师指导学生自主反馈式教学的方法。建议引入实际物流案例，培养学生建模能力，将理论应用到实际情境中，以提高学习的积极性。研究旨在为新时代物流管理专业的人工智能、数据结构与算法课程提供有效的指导。

关键词：物流管理；智慧物流人才；人工智能；数据结构与算法

中图分类号：F250 文献标志码：A DOI：10.13714/j.cnki.1002-3100.2024.10.033

Abstract： With the advent of the artificial intelligence era， talent development in the field of logistics management is facing new challenges. This article focuses on artificial intelligence， data structures， and algorithms， conducting an in-depth examination of their teaching content with the aim of nurturing professionals with intelligent logistics literacy. The paper analyzes the current state of the curriculum and centers on knowledge structure， teaching methodologies， and logical thinking. To enhance the students' learning motivation and cultivate their computational thinking， a teacher-guided， student-driven， self-feedback teaching approach is put forward. It is suggested to integrate real-world logistics cases to cultivate the students' modeling abilities， apply theory to practical situations so as to increase their learning enthusiasm. The research is designed to offer effective guidance for the artificial intelligence， data structures， and algorithms courses in logistics management tailored to the requirements of the new era.

Key words： logistics management；smart logistics talent；artificial intelligence；data structures and algorithms

0    引    言

随着人工智能[1-2]时代的到来，传统工科教育难以满足时代对多领域复合型人才的需求。为适应科技快速发展和产业升级的挑战，教学模式的变革迫在眉睫。在这样的背景下，物流管理专业作为紧密联系产业发展的学科，面临着新的机遇和挑战。智能物流的兴起使得物流管理要求专业人才不仅具备传统的管理学科知识，还需要掌握先进的计算机科学和算法应用，同时，对处于人工智能时代的从业人员，也要求他们对人工智能相关知识有所了解。数据结构与算法作为计算机科学领域的核心内容之一，对于培养具备高级智慧物流能力的专业人才至关重要。这门课程不仅关注数据的组织和存储方式，还着眼于解决实际问题的算法设计与优化。……