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粗糙集理论在计算机基础教学测评中应用
引用本文:韩玲,朱昌杰,胡国亮.粗糙集理论在计算机基础教学测评中应用[J].数字社区&智能家居,2010(12).
作者姓名:韩玲  朱昌杰  胡国亮
作者单位:淮北师范大学计算机科学与技术学院;
基金项目:基于粗集的计算机基础课程教学效果评估研究(淮北师范大学院级项目8398)
摘    要:计算机基础课的教学,从内容、方法到手段不断改进,但缺乏灵活、有效的教学测评方法。参加计算机基础等级考试的师生,如何在考前能够快速、准确了解教学效果并及时发现存在的问题,有针对性地做好考前辅导工作。依据粗糙集理论中条件属性对决策属性重要性的不同,确定对考试结果有重要影响的教学内容。知识约简的信息论观点包含了知识约简的代数观点1],利用信息熵计算属性重要性,通过对属性重要性分析,为今后的教学重点供了理论依据。

关 键 词:粗糙集  属性重要性  信息熵  计算机基础  教学测评  

Application of Rough Set Theory in Teaching Evaluation of Computer Foundation Teaching
HAN Ling,ZHU Chang-jie,HU Guo-liang.Application of Rough Set Theory in Teaching Evaluation of Computer Foundation Teaching[J].Digital Community & Smart Home,2010(12).
Authors:HAN Ling  ZHU Chang-jie  HU Guo-liang
Affiliation:School of Computer Science and Technology;Huaibei Normal University;Huaibei 235000;China
Abstract:It is lacking in teaching of computer foundation about the method of teaching evaluation on flexibility and effectiveness even though the teaching content and method are improved unceasingly.It is important to know teaching effect and to find problem quickly and accurately before examination of the computer for teachers and students.The teaching content that is close related with achievement is made certain based on difference of attribute significance between condition attribute and decision attribute acco...
Keywords:rough set  attribute significance  information entropy  computer foundation  teaching evaluation  
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