创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (9): 78-81.

• 教育改革与发展 • 上一篇    下一篇

数字化背景下基于回溯算法的自动排课系统设计

刘君宇, 刘琰, 张博文, 许磊   

  1. 北京经济管理职业学院,北京 100102
  • 出版日期:2025-05-10 发布日期:2025-08-25
  • 通讯作者: 许磊(1980—),男,河北辛集人,硕士研究生,助理研究员,研究方向:教育信息化、信息工程、教育管理,电子邮箱:xulei@biem.edu.cn。
  • 作者简介:刘君宇(1993—),男,山东枣庄人,硕士研究生,工程师,研究方向:数据科学、教学管理。
  • 基金资助:
    北京市教育委员会2024年北京高校学籍学历管理研究课题“‘三全育人’理念在学籍管理中的研究与实践”(XJXL202427)

Design of Automatic Course Scheduling System Based on Backtracking Algorithm in the Digital Background

LIU Junyu, LIU Yan, ZHANG Bowen, XU Lei   

  1. Beijing Institute of Economic and Management, Beijing, 100102, China
  • Online:2025-05-10 Published:2025-08-25

摘要: 在教育数字化的背景下,高校排课系统实现自动化的需求变得愈发迫切。许多大学目前采用的手动排课方法效率低下,容易导致资源分配不均衡。该文提出了一种基于回溯算法的自动排课系统,旨在解决高校教学管理中复杂的排课问题。该系统适应多种约束,包括教师可用性、教室容量和学生课程冲突等。该文将排课问题建模为组合优化问题,并采用回溯算法探索可行的排课组合,为高校排课提供了一种新颖的基于回溯算法的设计思路。该文提供了一种可扩展且适应性强的解决方案,可以使多数高校根据需求进行个性化定制。

关键词: 回溯算法, 自动排课系统, 排课问题, 课表安排, 高校教学管理, 教育数字化

Abstract: In the context of education digitalization, the need to automate the course scheduling system in colleges and universities has become increasingly urgent. The manual scheduling method currently adopted by many universities is inefficient and prone to uneven resource allocation. This paper proposes an automatic course scheduling system based on backtracking algorithm, which aims to solve the complex course scheduling problem in college teaching management. This system adapts to multiple constraints, including teacher availability, classroom capacity, and student course conflicts. This study models the course scheduling problem as a combinatorial optimization problem and uses backtracking algorithm to explore feasible course scheduling combinations, providing a novel backtracking algorithm-based design idea for the course scheduling in colleges and universities. This design provides a scalable and adaptable solution that can be customized according to the needs of most colleges and universities.

Key words: Backtracking algorithm, Automatic scheduling system, Scheduling issues, Schedule arrangement, University teaching management, Education digitization

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