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基于层次分析法和聚类分析法的高等教育自学考试多元评价模型探析
引用本文:陈曦.基于层次分析法和聚类分析法的高等教育自学考试多元评价模型探析[J].中国考试,2021(3).
作者姓名:陈曦
作者单位:教育部考试中心
基金项目:国家教育考试科研规划2019年度课题“自学考试多元化评价体系研究”(GJK2019042)。
摘    要:在高等教育自学考试中采用多元评价方式,有利于对学生进行全面评价,符合新时代教育评价改革要求。基于层次分析法和聚类分析法构建自学考试课程多元评价模型,以普通高等学校计算机基础课程为例进行实证分析,确定多元评价模型各评价指标的权重系数,其中:终结性考试权重为0.539,实践成绩类权重为0.297,平时成绩类权重为0.164。该模型既体现了指标数据的客观性,又体现了考核主体的主观意志。

关 键 词:教育评价改革  综合评价  多元评价  自学考试  层次分析法  聚类分析法

An Exploration of Multiple Evaluation Mode in Self-taught Higher Education Examination Based on the Analytic Hierarchy Process and Cluster Analysis
CHEN Xi.An Exploration of Multiple Evaluation Mode in Self-taught Higher Education Examination Based on the Analytic Hierarchy Process and Cluster Analysis[J].China Examinations,2021(3).
Authors:CHEN Xi
Institution:(National Education Examinations Authority,Beijing 100084,China)
Abstract:The use of multiple evaluation methods in self-taught higher education examinations will be of benefit to comprehensive evaluation of students,and meets the requirements of educational evaluation reform in the new era.This paper constructs a multiple evaluation model for self-taught examination courses based on analytic hierarchy process and cluster analysis.Taking the basic computer course in colleges as an example,the weight coefficient of each evaluation index in the multiple evaluation model is determined.The result is:the weight of summative examination is 0.539,the weight of practical performance is 0.297,and the weight of usual performance is 0.164.This model not only reflects the objectivity of the index data,but also reflects the subjective will of the assessment subject.
Keywords:educational evaluation reform  comprehensive evaluation  multiple evaluation  self-taught examination  analytic hierarchy process  cluster analysis
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