基于案例教学的《统计数据分析方法》课程思政建设路径探索

Exploring the Path of Curriculum Ideological and Political Education in the Course of Statistical Data Analysis Methods via Case-Based Teaching

摘要: 课程思政是新时代研究生教育落实立德树人根本任务的重要举措。本文以应用统计专硕核心课程《统计数据分析方法》为研究对象，通过分析课程特点，提出了“三维一体”的课程思政融入思路，并构建“案例导入–统计建模–结果解读–价值反思”的“四阶递进”课程思政教学模式。选取城市生活垃圾产生量预测与杭州市空气质量指数预测两个典型教学案例，进一步说明“四阶递进”课程思政教学模式在课程不同统计方法教学中的适用性。研究表明，“四阶递进”教学模式，能够有效实现专业教育与思政教育的有机融合，增强学生运用统计方法分析现实问题、服务国家战略和社会发展的责任意识，为应用统计专硕研究生培养提供可复制、可推广的课程思政建设方案。

Abstract: Curriculum ideological and political education constitutes a vital measure for implementing the fundamental task of fostering virtue through education in postgraduate education in the new era. Taking the core course statistical data analysis methods for professional master’s program in applied statistics as the research subject, this paper proposes a “three-dimensional integrated” approach to embedding ideological and political elements into the curriculum, based on an analysis of the course’s characteristics. Furthermore, it constructs a “four-stage progressive” teaching model for curriculum ideological and political education, comprising case introduction, statistical modeling, result interpretation, and value reflection. Two typical teaching cases, that is, the prediction of municipal solid waste generation and the forecasting of the AQI in Hangzhou, are selected to further illustrate the applicability of this four-stage progressive teaching model across different statistical methods in the course. The findings indicate that the proposed teaching model effectively facilitates the organic integration of professional education and ideological-political education, enhances students’ sense of responsibility in applying statistical methods to analyze real-world problems and serve national strategies and social development, and provides a replicable and scalable curriculum ideological and political education framework for the training of professional master’s students in applied statistics.