CAJ | 학술논문

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。
작위고교내부질량관리적중요배절급학교적효고핵적중요의거，고교교사평개문제일직이래도시연구적열점。당전대고교교사적평개，통상채용산술평균선성화분법，대은함적신식몰유진행심입알굴，난이전면준학지반영교사적종합정황。운용K균치취류산법대모고교모전업교사일학년적교학、과연화사덕평개결과진행취류，병대취류결과진행상세분석。결과표명취류산법능종평개수거중획취경다적유효신식，위교학관리자경가준학지장악교사적특점，제정경위유효적배양책략，전면제고교사종합소질제공료대력적방조。
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.