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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

24

期数:

2014年05期

页码:

204-206

栏目:

应用开发研究

出版日期:

2014-05-31

文章信息/Info

Title:

Application Research of K-means in Analysis of College Teachers' Evaluation

文章编号:

1673-629X（2014）05-0204-03

作者:

王悦; 冷泳林; 鲁富宇; 鄂旭

渤海大学

Author(s):

WANG Yue; LENG Yong-lin; LU Fu-yu; E Xu

关键词:

K均值聚类; 教师评价; 应用研究; 聚类分析

Keywords:

K-means mean clustering; teachers' evaluation; application research; clustering analysis

分类号:

TP311

文献标志码:

A

摘要:

作为高校内部质量管理的重要环节及学校绩效考核的重要依据，高校教师评价问题一直以来都是研究的热点。当前对高校教师的评价，通常采用算术平均线性划分法，对隐含的信息没有进行深入挖掘，难以全面准确地反映教师的综合情况。运用K均值聚类算法对某高校某专业教师一学年的教学、科研和师德评价结果进行聚类，并对聚类结果进行详细分析。结果表明聚类算法能从评价数据中获取更多的有效信息，为教学管理者更加准确地掌握教师的特点，制定更为有效的培养策略，全面提高教师综合素质提供了大力的帮助。

Abstract:

As an important link of internal quality management and the basis of performance appraisal,the issue of college teachers' eval-uation is always the research plume. At present,about this issue,the arithmetical average method is usually adopted,but it can't deeply excavate connotative information,and therefore can't accurately reflect teachers' comprehensive situation. Using K-means to cluster the evaluation results of teachers' teaching,scientific research,and teachers' code of morality in some major for a whole year,and analyze the clustering results in detail. The results show that the clustering algorithm can obtain more effective information from the evaluation da-ta which is very helpful for the teaching management more accurately grasping the characteristics of teachers,developing a more effective strategy training,improving the overall quality of teachers.

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更新日期/Last Update: 1900-01-01