高校理工类课程思政成绩多维度模糊综合评价——以《概率论与数理统计》课程为例
Multidimensional Fuzzy Comprehensive Evaluation of the Score of Ideological and Political in Higher Education Science and Engineering Courses—Taking the Course of “Probability Theory and Mathematical Statistics” as an Example

为了更加客观、公正评价高校理工类学生课程思政成绩，本文以《概率论与数理统计》课程为例，通过主成分分析法和层次分析法构建了课程思政多层次评价指标体系，从授课教师、组间同学和学生自身三个维度，运用模糊综合评判构建了课程思政成绩多维度模糊综合评价模型，并将指标体系和综合评价模型应用于我校通信工程专业的《概率论与数理统计》课程思政成绩评测。实例结果表明，所构建的指标体系和评价模型能够得到较客观的课程思政成绩，具有较强的操作性。
To objectively and fairly evaluate the course ideological and political grades for science and engineering students in university, this paper takes the course “Probability Theory and Mathematical Statistics” as an example and constructs a multi-level evaluation index system for ideological and political education in courses by the principal component analysis and analytic hierarchy process. From the perspectives of teachers, inter-group students, and students themselves, the paper proposes a multi-dimensional fuzzy comprehensive evaluation model for ideological and political education in courses by the fuzzy comprehensive evaluation. The index system and comprehensive evaluation model are applied to the evaluation of ideological and political achievements in the course “Probability Theory and Mathematical Statistics” in the Communication Engineering major of our university. The example results show that the constructed indicator system and evaluation model can obtain more objective course ideological and political grades, and have strong operability.