网络教学平台辅助下的课程成绩预测研究  

Research on prediction of course grade aided by network teaching platform

作　　者：白杨[1] Bai Yang(School of Information Engineering, Eastern Liaoning University, Dandong 118003, China)

机构地区：[1]辽东学院信息工程学院,辽宁丹东118003

出　　处：《现代盐化工》2018年第2期51-52,共2页Modern Salt and Chemical Industry

基　　金：辽东学院科研基金重点培育项目"大数据环境下融合情感语义特征的个性化学习模式研究"(2016ZD001)

摘　　要：课程成绩预测研究对大学生的学习指导及课程评价体系的构建具有指导意义。为了监测学习过程和预测学习效果,以泛雅网络教学平台为辅助环境,文章采用决策树方法对学生的课程学习过程进行分析,获得课程成绩的主要影响因素和分类规则。该方法能为学生提供课程学习指导,为制定课程的考核及评价方式提供思路。The course grade prediction is of guiding signifcance to college students’ learning guidance and the construction of course evaluation system. In order to monitor the learning process and predict the learning effect, in this paper, the author uses the method of decision tree analysis to analyze the students’ learning behavior, and obtains the main infuencing factors and classifcation rules using Fanya network teaching platform as an auxiliary environment. This method can provide students with course learning guidance, and provide ideas for formulating course assessment and evaluation methods.

关 键 词：课程成绩预测 决策树 信息增益 泛雅网络教学平台 

分 类 号：G434[文化科学—教育学]