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Research on Project-Based Teaching Quality Evaluation Based on Fuzzy Cluster Analysis

机译:基于模糊聚类分析的基于项目的教学质量评价研究

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In view of the traditional teaching quality evaluation method is not applicable to project of teaching quality evaluation problem, taking the “scientific computation and visualization” in the “Python Language Programming” course as an example, the project is divided into five sub-projects, re-construct the teaching quality evaluation system including 4 first-level indicators such as teaching attitude, teaching method, teaching content and teaching effect. It also includes 24 second-level indicators. Through the questionnaire survey of project quality teaching, the fuzzy clustering method is used to cluster the survey results, which gives the corresponding evaluation. The feasiuility and effectiveness of fuzzy clustering method in analyzing the quality of project teaching are verified.
机译:鉴于传统的教学质量评估方法不适用于教学质量评估问题的项目,以“ Python语言编程”课程中的“科学计算与可视化”为例,该项目分为五个子项目,重构教学质量评价体系,包括教学态度,教学方法,教学内容和教学效果四个一级指标。它还包括24个二级指标。通过对项目质量教学的问卷调查,采用模糊聚类方法对调查结果进行聚类,给出相应的评价。验证了模糊聚类法在项目教学质量分析中的可行性和有效性。

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