摘要
根据学生试卷每个题目的得分情况,使用蚁群算法对学生进行聚类,使得每个分类中的学生尽可能的相似,再对每个分类学生进行分析,能够更加客观地了解学生对课程知识点掌握的分布情况。由于采用了聚类而不是根据总成绩硬性的分类,使得试卷分析更加具有科学性,能够更好地指导教学工作,是一个值得推广的思路和方法。
The examinees were divided into some classifications according to their total scores,and then the statistical indicators,such as passing rate,performance variance and mean value,were also calculated in a traditional analysis method.Teaching results werc introduced and assessed though the traditional analysis method in some degree,while the situation of mastering knowledge point itl tile courses was ig-nored,therefore,the teaching work in the future was not guided.According to the method of ant colony algorithm,the examinees were classified into groups as similar as possible.Then the examinees in the same group were analyzed in order to introduce objectively the distribu-tion of mastering knowledge point in the courses according to the score values in the test-paper from a subject.The scientific in analyzing test-papers was increased by using the clustering method,without the method base on the total score from examinees,so this idea and method was worth popularizing as a new type of guiding teaching work.
出处
《计算机与数字工程》
2012年第4期12-14,共3页
Computer & Digital Engineering
基金
陕西省教学改革项目:网络信息技术对大学生计算机应用能力提升的研究与实践(编号:11BY36)资助
关键词
数据挖掘
聚类
蚁群算法
数据预处理
试卷分析
data mining
clustering
ant colony algorithm
data preprocessing
testpaper analysis
