基于模糊聚类分析的教学评估  

Teaching Evaluation of Based on Fuzzy Clustering Analysis

作　　者：王延军[1] WANG Yan-Jun(College of Mathematics and Computer Science,Yan'an University,Yan'an Shaanxi716000)

机构地区：[1]延安大学数学与计算机科学学院,陕西延安716000

出　　处：《甘肃高师学报》2022年第5期34-36,共3页Journal of Gansu Normal Colleges

基　　金：国家自然科学基金项目“模糊奇异系统的可达集分析与估计”(61763045);陕西省自然科学基础研究计划项目“基于事件驱动的遥控水下机器人模糊控制研究”(2020JMG552)。

摘　　要：文章通过数据采集和数据矩阵规格化,建立模糊相似矩阵模型,并运用模糊聚类分析方法对教学质量进行了评估.虽然这种方法不能实现传统意义上的名次排列,但是建立了一种更加科学合理、简单易行的教学评估方法,实现了教学评估量化与质的结合,能为定性评价课堂教学质量提供依据.Through data collection and data matrix normalized, a fuzzy similarity matrix model is established, and the teaching quality is evaluated by using the fuzzy clustering analysis method. Although this method can not achieve the traditional ranking, it has established a more scientific, reasonable and simple teaching evaluation method, which realizes the combination of quantification and quality in teaching evaluation, and can provide a basis for qualitative evaluation of curriculum teaching quality.

关 键 词：教学评估 模糊相似矩阵 模糊聚类分析 

分 类 号：O189.1[理学—数学]