AI赋能的《数据分析》智慧课程构建与实践

The Construction and Practice of an AI-Empowered Smart Course in “Data Analysis”

摘要: 随着人工智能技术的快速发展，AI赋能教育已成为教学改革的重要方向。本文以《数据分析》课程为例，构建了一套智慧化课程体系，通过动态知识图谱重构教学内容、AI智能伴学系统实现个性化学习、生成式AI工具创新备课和出卷等环节，并深度融合课程思政元素。依托头歌平台(Educoder)，将大模型技术深度融入课程设计，开发了知识图谱导航、24 h智能助教、智能备课、智能出卷等功能模块。结果表明，该模式有效解决了传统课程内容滞后、教学反馈延迟、个性化学习不足等问题，显著提升了学生的数据分析能力和学习效率。本文为“AI + 教育”的实践提供了可复制的课程改革范式，助力培养兼具技术能力与家国情怀的工业设计复合型人才。

Abstract: With the rapid development of artificial intelligence technology, AI-enabled education has become an important direction for teaching reform. Taking the Data Analysis course as an example, this paper constructs a smart curriculum system by dynamically restructuring teaching content through knowledge graphs, implementing personalized learning with an AI intelligent companion system, and innovating practical teaching with generative AI tools, while deeply integrating ideological and political education elements. Leveraging the Educoder platform, large model technology is deeply embedded into the course design, with the development of functional modules such as knowledge graph navigation, a 24-hour AI teaching assistant, intelligent lesson preparation, and automated test generation. The results show that this model effectively addresses issues in traditional courses, such as outdated content, delayed feedback, and insufficient personalized learning, significantly enhancing students’ data analysis skills and learning efficiency. This paper provides a replicable paradigm for curriculum reform in the practice of “AI + education”, contributing to the cultivation of well-rounded talents equipped with both technical competencies and a sense of social responsibility.