人工智能背景下物流管理专业数据结构课程教学研究

Teaching and Research on Data Structures Course in the Field of Logistics Management Under the Background of Artificial Intelligence

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。

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.