大数据背景下基于随机森林算法的高校学生成绩预警研究  

Research on college students’score early warning based on random forest algorithm under the background of big data

作　　者：余弦[1] 周谊芬[2] Yu Xian;Zhou Yifen(Nantong University Xinglin College,Nantong 226000,China;Nantong University,Nantong 226000,China)

机构地区：[1]南通大学杏林学院,江苏南通226000 [2]南通大学,江苏南通226000

出　　处：《江苏科技信息》2020年第20期50-53,共4页Jiangsu Science and Technology Information

基　　金：江苏高校哲学社会科学研究项目,项目名称:大数据背景下独立学院教学管理信息化研究,项目编号:2018SJA2227。

摘　　要：在大数据背景下,高校教学管理的很多方面也需要进行改革。文章探讨了高校学生成绩预警现状,提出一种基于随机森林算法的高校学生成绩预警模型,并利用某校学生的成绩数据为总训练集,构建不同的决策树,最终预测学生目标课程成绩的风险等级,通过实际数据检验了预警模型的可行性,对教学管理方法的改进和教学质量的提高有着积极的指导意义。Many aspects of university teaching management need to be reformed under the background of big data.This article discusses the current situation of college students’ scores early warning,proposes a random forest algorithm-based college students’ scores early warning model,and uses the results data of a certain school’s students as the total training set to construct different decision trees,finally predicting the risk level of students’ target course scores,which has verified the feasibility of the early warning model.The model has a positive guiding significance for the improvement of teaching management methods and the improvement of teaching quality.

关 键 词：大数据 随机森林算法 成绩预警 

分 类 号：G647[文化科学—高等教育学]