基于AI + 项目驱动的“数据结构”实验教学改革研究

Research on Experimental Teaching Reform of “Data Structures” Based on AI + Project-Driven

摘要: 《数据结构》课程作为电子信息类专业的基础课程之一，其实验教学是培养学生实践能力与创新思维的关键环节。针对传统实验教学中存在的内容单一、与实际应用脱节、学生主动性不足等问题，本文提出将人工智能技术与项目驱动教学法深度融合的改革方案。首先构建“AI赋能 + 项目驱动”的实验教学模式，然后设计递进式任务，最后借助AI工具实现个性化指导与过程性评价，有效提升学生对数据结构知识的应用能力并培养其创新意识。

Abstract: “Data structures” is one of fundamental courses of electronic information major. Its experimental teaching is a crucial component in cultivating practical abilities and innovative thinking of students. Aiming at drawbacks in traditional experimental teaching, such as monotonous content, disconnection from practical applications, and insufficient student initiative, this paper proposes a reform plan that deeply integrates artificial intelligence (AI) technology with the project-driven teaching method. Firstly, an experimental teaching model of “AI Empowerment + Project-Driven” is constructed. Secondly, progressive tasks are designed. Thirdly, AI tool is leveraged to achieve personalized guidance and process-oriented evaluation. This approach effectively enhances students’ ability to apply knowledge of Data Structures and fosters their sense of innovation.