基于粒度计算的教学质量评价  

Evaluation of Quality of Teaching Based on Granular Computing

作　　者：李萍[1,2] 吴涛[1,2,3] 汪琼枝[1,2] 张帅[2] 

机构地区：[1]安徽大学智能计算与信号处理教育部重点实验室,安徽合肥230039 [2]安徽大学数学科学学院,安徽合肥230039 [3]南京大学计算机软件新技术国家重点实验室,江苏南京210093

出　　处：《计算机技术与发展》2009年第10期40-43,共4页Computer Technology and Development

基　　金：中国博士后基金面上项目(20070411028);国家973计划项目(2007BC311003);国家自然科学基金(60675031);安徽省高等学校省级自然科学研究项目(KJ2008B093;KJ2008B45ZC;KJ2008B108ZC);安徽大学学术创新团队项目;安徽大学人才队伍建设经费项目;安徽大学大学生创新性实验项目

摘　　要：连续多年的扩招,高校在校生的规模急剧扩大,高校的教学质量成了全社会关注的焦点。如何科学、合理地确定评价指标,对教师的教学质量进行客观公正地评价,是当前的重要课题。利用粗糙集的属性约简和决策规则生成方法,分析学生对教师课堂教学的测评数据,得到了影响教学质量的关键因素和评价教学质量的最小规则。所得结果对教师改进教学方法,提高教学水平和教学质量,简化教学测评具有一定的指导意义。For continuous enlarging the scale of student- recruitment for many years and the number of college students＇increasing rapidly, the teaching quality of colleges and universities has become the focus of the public＇s attention. How to scientifically and reasonably ascertain the valuation index to evaluate the quality of the teaching objectively and impartially, is an important subject. In this paper, the method of attribute reduction and decision rule creation of rough set is used to analyze a data on the evaluation of teachers＇ quality of the teaching measured by students and a minimal rule and key index are gained. The result which can simplify the teaching evaluation is somewhat significant for teachers to improve the teaching method, teaching level and teaching quality,

关 键 词：属性值约简 决策表 信息系统 决策规则 

分 类 号：G434[文化科学—教育学]