创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (5): 157-159.

• 创新方法 • 上一篇    下一篇

基于“三元融合、三维驱动、三位一体”的统计学专业数据分析实验教学改革探索

周燕, 肖莉, 杨志程, 丁仕虹   

  1. 华南农业大学 数学与信息学院,广东广州 510642
  • 出版日期:2026-03-10 发布日期:2026-07-01
  • 作者简介:周燕(1980—),女,广西桂林人,硕士研究生,副教授,研究方向:数据挖掘、网络仿真、应用大数据、统计建模。
  • 基金资助:
    广东省高等教育教学改革项目“基于创新能力培养的统计学专业数据分析类实验课程改革探索与实践”(粤教高函〔2024〕9号516); 广东省质量工程项目“数据统计与分析类课程教研室”(粤教高函〔2024〕9号194)

Exploration of Experimental Teaching Reform in Statistical Data Analysis Based on “Triple Fusion, Three Dimensional Drive, and Trinity”

ZHOU Yan, XIAO Li, YANG Zhicheng, DING Shihong   

  1. College of Mathematics and Informations, South China Agricultural University, Guangzhou Guangdong, 510642, China
  • Online:2026-03-10 Published:2026-07-01

摘要: 针对传统统计学专业数据分析实验教学中学生自主性弱、产教融合浅表化、技术融合低等问题,该文构建了思政、技术、产教“三元融合”,问题、项目、实践“三维驱动”,实验室、基地、校外“三位一体”的立体化实验教学体系;通过优化课程结构、创新教学模式、整合数字资源、建设“双师”团队、完善评价机制5条改革路径,显著提升了学生的数据创新能力。实践表明:该模式有效解决了实验教学与产业需求脱节的问题,为培养德才兼备的数据分析人才提供了参考。

关键词: 实验教学改革, “三元融合”, “三维驱动”, “三位一体”, 数据分析能力, 创新能力培养

Abstract: In response to the problems of weak student autonomy, shallow integration of industry and education, and low integration of technology in traditional statistical data analysis experimental teaching, this article constructs a three-dimensional experimental teaching system that integrates ideological and political education, technology, and industry and education, and is driven by problems, projects, and practices in three dimensions: laboratory, base, and off campus. By optimizing the curriculum structure, innovating teaching models, integrating digital resources, building“dual teacher”teams, and improving evaluation mechanisms, five reform paths have significantly enhanced students' data innovation abilities. Practice has shown that this model effectively solves the problem of the disconnect between experimental teaching and industry demand, providing a reference for cultivating data analysis talents with both morality and talent.

Key words: Experimental teaching reform, “Triple fusion”, “Three dimensional drive”, “Trinity”, Data analysis capability, Cultivation of innovative ability

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