计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2014年
6期
79-83
,共5页
成绩相关性%k-均值聚类%决策树%R-C4 .5算法
成績相關性%k-均值聚類%決策樹%R-C4 .5算法
성적상관성%k-균치취류%결책수%R-C4 .5산법
achievement relativity%k-means cluster analysis algorithm%decision tree%R-C4.5 algorithm
针对高职学生的学习情况，采用k-均值聚类算法对学生的考试成绩进行等级划分，再采用R-C4．5算法构造决策树，通过对该决策树提取规则来分析学生各学科成绩和总评成绩的相关性。该方法可以减少决策树中的无意义的分支，挖掘出影响学生总评成绩的主要因素，为任课教师和教学管理人员在制定教学计划、开展教学工作和进行教学评价等方面提供参考。
針對高職學生的學習情況，採用k-均值聚類算法對學生的攷試成績進行等級劃分，再採用R-C4．5算法構造決策樹，通過對該決策樹提取規則來分析學生各學科成績和總評成績的相關性。該方法可以減少決策樹中的無意義的分支，挖掘齣影響學生總評成績的主要因素，為任課教師和教學管理人員在製定教學計劃、開展教學工作和進行教學評價等方麵提供參攷。
침대고직학생적학습정황，채용k-균치취류산법대학생적고시성적진행등급화분，재채용R-C4．5산법구조결책수，통과대해결책수제취규칙래분석학생각학과성적화총평성적적상관성。해방법가이감소결책수중적무의의적분지，알굴출영향학생총평성적적주요인소，위임과교사화교학관리인원재제정교학계화、개전교학공작화진행교학평개등방면제공삼고。
According to the achievements of the vocational students , k-means cluster analysis algorithm is applied to divide the degrees of the student’s achievements, then the R-C4.5 algorithm is applied to build the decision tree , finally rules are extracted by the decision tree to analyze the relationship between the achievement of each subject and the student ’ s final total achievement . By this algorithm the meaningless branch of the decision tree can be reduced , and the main fator which affecting the student ’ s to-tal achievement can be mined effectively , thus providing references to teachers and teaching managers to make teaching plans , carrying out teaching activities , and evaluating the teaching results .
