MOSP / 期刊 / 产教融合研究与实践 / 2026年·第4卷·第2期
研究文章

“数据结构算法”课程教学方法探究

作者:骆仟*
西安工业大学,陕西,西安,中国
*标记署名为通讯作者
提交:2025-12-20修改:2026-01-14录用:2026-02-25出版:2026-03-30
产教融合研究与实践 2026, 4(2), 28-33; https://doi.org/10.58244/rpiei.263686
课题资助:基金信息:西安工业大学研究生课程质量工程项目--前沿与学科交叉课程(项目编号:XAGDYJ240607)。 无利益冲突需要说明。

摘 要:建设国际化的高等教育体系目前已经成为我国教育改革和发展的方向。对来华留学生的培养质量是衡量一流大学国际化程度的重要指标。课程是留学生培养最重要的载体,对课程的评价直接影响留学生的整体体验。以计算机大类专业核心基础课“数据结构算法”为例,认真分析了数据结构教学的特点、留学生学习的实际情况,以及采用综合案例应用和问题导向的教学设计,说明任务驱动型课程教学模式的实施过程。通过任务驱动和问题导向,将留学生课程教学从教师为主的被动灌输形式向以学生为主的主动学习方式转变,提高学生课程参与度,最终提升教育质量和学生对受教育经历的满意度。

关键词:留学生;数据结构算法;课程教学;任务驱动;问题导向


 

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Exploration on Teaching Methods for the Course “Data Structures and Algorithms”

Abstract: Building an internationalized higher education system has become the direction of educational reform and development in China. The quality of education for international students studying in China is an important indicator for measuring the internationalization level of first-class universities. Courses serve as the most critical carrier for cultivating international students, and course evaluation directly affects their overall learning experience. Taking Data Structures and Algorithms, a core foundational course for computer-related majors, as an example, this paper carefully analyzes the characteristics of data structure teaching, the actual learning situation of international students, and the teaching design adopting comprehensive case applications and problem-oriented approaches, illustrating the implementation process of a task-driven teaching mode. Through task-driven and problem-oriented methods, the teaching of international student courses is transformed from teacher-centered passive instruction to student-centered active learning, which enhances student engagement in the course and ultimately improves educational quality as well as students’ satisfaction with their learning experience.

Keywords: International Students; Data Structures and Algorithms; Course Teaching; Task-Driven; Problem-Oriented


 

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