摘要
目前的学习评价方法一是根据评价对象的实际情况建立指标体系并邀请专家打分,把打分的结果进行加权组合计算,进而得到综合评价值;二是直接由专业教师进行主观评价。这两种方法都含有主观因素,并缺乏足够的统计学理论依据。该研究在本校远程教学平台中,应用主成分分析理论,设计评价模块。该模块可根据评价对象的实际数据进行统计分析,从而给评价对象一个客观的综合评价。
Instructional synthesis evaluation,currently,are always based on teacher-marked general scores or any algorithm relying on previously specified weights,both of which are subjective.This paper applies Principal Component Analysis （PCA） technique in instruction synthesis evaluation and puts forward a PCA based instruction synthesis evaluation method which can provide a subjective synthesis evaluation for students.In addition,the method is verified by being implemented as the evaluation module in the distance education platform.Finnally,this paper also high lights its practical significance by demonstrating a case which the evaluation module processes.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第30期210-212,222,共4页
Computer Engineering and Applications
基金
上海高校选拔培养优秀青年教师科研专项基金(No.egd-07009)。
关键词
主成分分析
评价模型
教学评价
Principle Component Analysis（PCA ）
evaluation model
instruction evaluation
