基于DEA方法的高校课程学习评价研究  

Research of Curriculum Learning Evaluation in Universities Based on DEA

作　　者：袁莺楹[1] 刘红梅[1] 葛文璇[1] 

机构地区：[1]南通大学,江苏南通226019

出　　处：《高教论坛》2013年第6期91-94,共4页higher education forum

基　　金：南通大学教学研究项目"学院教师教学质量考核工作实施研究"(2010A16);南通大学高等教育研究项目"高校工科类专业基础课青年教师教学能力培养对策研究"(2011GJ024)

摘　　要：针对目前高校课程学习评价中多以期末考核成绩为基准而不考虑学生入学前基础的现状,本文采用数据包络分析法的基本模型以及超效率模型,以某工科专业力学课程的学习为例,分析了影响课程学习的诸多因素,并对该专业学生的力学课程学习效果进行了评价。结果表明,该方法综合考虑了学生入学前的基础和入学后的努力情况,较为客观、公正地反映了学生的学习情况,为教师和学生更好地教与学提供了下一步的努力方向。At present, universities treat the final examination scores as the standard to evaluate students＂ learning effect, without considering the students preschool foundation. In view of this situation, this paper taking the study of engineering students＂ mechanics course as example, has analyzed the influence factors of the course learning and evaluated the effect of students＇ me- chanics course learning, in which the basic model of data envelopment analysis and super efficiency model are applied. The result indicates that the method not only considers the students＇ preschool foundation,but also takes the efforts after enrollment into account. It reflects students teaching and students better learning objectively and fairly, which provides the next diligently direction for teachers＇ better learning.

关 键 词：课程学习评价 数据包络分析 决策单元 超效率模型 

分 类 号：G642.47[文化科学—高等教育学]