摘要
利用决策树ID3算法对大学生英语等级考试成绩和问卷数据进行分类,并对分类结果进行分析,找出了英语学习中的隐含信息,分析影响大学英语等级考试成绩的主要因素,从而得出通过大学英语等级考试的规则。学生在学习过程中,可以借鉴这些规则,有目的地进行学习;学校在指导教学过程中也可以参考这些规则有针对性地制定教学方案,提高学生的英语等级考试通过率,实现优化教学。
ID3 decision tree classification algorithm is used on College English grade examination and questionnaire da ta, and the classification results are analyzed, to find out the hidden information in English learning and the main factors that affect university English test scores, so as to abtain the rules of the data that passing college English test. Students in the learning process can learn from these rules, the purpose of learning, school in guiding the teaching process can also refer to these rules for making teaching plan to improve the passing rate of students＇ English level test, to optimize teaching.
出处
《计算机与数字工程》
2014年第5期843-845,871,共4页
Computer & Digital Engineering
基金
2013年广西高校科研项目"模糊支持向量机及其在海洋灾害风险预测的应用研究"(编号:2013YB259)
2013年广西教育科学"十二五"规划课题成果"基于协同创新的应用型本科院校计算机专业实践教学体系的研究"(编号:2013C088)资助
关键词
数据挖掘
决策树
ID3算法
英语等级考试
data mining, decision trees, ID3 algorithm, English proficiency test
