人工智能赋能数据结构教学设计——以二叉树先序遍历为例

AI‑Empowered Teaching Design in Data Structures—A Case Study of Pre‑Order Traversal of Binary Trees

摘要: 随着人工智能(Artificial Intelligence, AI)技术的迅猛发展，AI赋能课程教学已成为高等教育改革研究的重要方向。数据结构作为计算机相关专业的核心课程，因其概念和算法抽象、实践性强、学生基础差异大等特点，已成为AI教学改革的重点研究对象。而传统数据结构教学存在诸多弊端，本文选取二叉树先序遍历为例，通过构建完整的AI赋能教学设计案例，将知识点可视化、动态化、场景化，为数据结构的教学改革与教学创新提供参考。

Abstract: With the rapid advancement of artificial intelligence (AI) technologies, AI-empowered curriculum teaching has become an important direction of higher education reform research. As a core course for computer-related majors, data structures feature abstract concepts and algorithms, strong practicality, and large differences in students’ academic foundations, making it a key research object for AI-based teaching reform. Conventional data structure teaching has many limitations. Taking the pre-order traversal of binary trees as an example, this paper constructs a complete AI-empowered teaching design case to visualize knowledge points with dynamic and scenario-based demonstrations, thereby providing a reference for the teaching reform and innovation of data structure courses.