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面向新工科的数据结构实验教学研究与改革

Experimental teaching research and reform of data structure for emerging engineering education

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【作者】 朱静雯刘明铭谢茂强沈舒尹李博学

【Author】 ZHU Jingwen;LIU Mingming;XIE Maoqiang;SHEN Shuyin;LI Boxue;College of Software, Nankai University;Yunfan Massive Data Technology (Beijing) Co.Ltd;

【通讯作者】 刘明铭;

【机构】 南开大学软件学院云帆海量数据科技(北京)有限公司

【摘要】 新工科背景下,高校实验教学应以知识扩充与能力提升为主线。数据结构是计算机类专业的基础核心课程,实验教学是整个课程教学的关键部分。为增强学生理论理解,提高实验教学质量,实践了“基础题目与拔高题目相结合、线上线下相结合、编程实验与竞赛相结合,优化实验考核评价体系”的实验教学新模式,并取得了较好的教学效果。阐述了如何将上述实验教学新模式应用于数据结构实验教学全过程,并通过信息化手段支撑2019年~2021年本科生的数据结构实验课程。成绩对比说明实验教学新模式在教学应用效果上的有效性。

【Abstract】 Under the background of emerging engineering education, experimental teaching in colleges should be based on knowledge expansion and ability improvement. Data structure is the basic core course of computer science majors, and experimental teaching is a key part of the teaching of the entire course teaching. In order to enhance students’ theoretical understanding and improve the quality of experimental teaching, a new model of experimental teaching has been practiced: “combining basic topics with elevated topics, combining online and offline teaching, combining programming experiments with competitions, and optimizing the experimental assessment and evaluation system”. And good teaching results have been achieved. This paper expounds how to apply the above new experimental teaching mode to the whole process of data structure experimental teaching. And through the means of information technology to support the data structure experimental course of the three undergraduate students in 2019-2021. The results show the effectiveness of the new experimental teaching model in the teaching and application effect.

【基金】 南开大学2022年实验课程改革项目(项目编号:22NKSYSX05)
  • 【文献出处】 实验室科学 ,Laboratory Science , 编辑部邮箱 ,2024年04期
  • 【分类号】G642.423;TP311.12-4
  • 【下载频次】62
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