基于模糊聚类分析理论的高职状态数据挖掘与专业划分研究  

Research on Data Mining and Professional Division of Higher Vocational Education Based on Fuzzy Clustering Analysis Theory

作　　者：王贡献[1] 沈发治[1] 王如荣[1] WANG Gong-xian;SHEN Fa-zhi;WANG Ru-rong(Yangzhou Polytechnic Institute,Yangzhou 225000,Jiangsu)

机构地区：[1]扬州工业职业技术学院,江苏扬州225000

出　　处：《湖南工业职业技术学院学报》2019年第6期26-31,37,共7页Journal of Hunan Industry Polytechnic

基　　金：江苏省高教学会评估委员会2019年度课题“高职质保体系下专业综合评价指标体系研究”(项目编号:2018-Y18);2019年江苏省高等教育教改课题“高职院校专业综合评估指标体系研究”(项目编号:2019JSJG498)。

摘　　要：高职院校内部质量保证体系建设工作,需要以学校人才培养工作状态数据为基础,从专业建设入手,建立一套专业诊断与改进评价指标体系。文章首先介绍了高职院校人才培养状态数据平台的模块构成和模糊聚类分析理论;接着以某省示范性高职院校的39个专业为例,应用模糊聚类分析理论对这些专业进行了分类,并为相似度较高的同一类专业制定了相应的专业建设目标值;最后,对高职院校推进诊改工作实施提出了一些建议。The construction of the internal quality assurance system in higher vocational colleges should be based on the data of the training status of the school talents,and set up a set of professional diagnosis and improvement evaluation index system from the professional construction.First of all,the paper introduces the module structure of data platform for talent training in higher vocational colleges,and then introduces the theory of fuzzy cluster analysis.Then,taking the 39 specialties of a provincial Demonstration Higher Vocational College as an example,the fuzzy cluster analysis theory is applied to classify these specialties,and the corresponding professional construction target values are formulated for the same class with higher similarity.Finally,we put forward some suggestions for the implementation of the reform in higher vocational colleges.

关 键 词：状态数据 内部质量保证 专业诊改 指标体系 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] G718.5[自动化与计算机技术—计算机科学与技术]