基于机器学习的大学生网络学习分析  

Analysis of Online Learning for College Students Based on Machine Learning

作　　者：刘冬邻[1] LIU Donglin(Sichuan International Studies University,Chongqing 400031,China)

机构地区：[1]四川外国语大学,重庆400031

出　　处：《现代信息科技》2023年第7期186-189,共4页Modern Information Technology

基　　金：重庆市教育科学规划课题(2017-GX-127)。

摘　　要：针对依靠大学网络教学平台的相关学习大数据,为教育管理者提供决策依据,为师生提供教学效果评估的需求,研究利用网络教学平台中的课程数据、学习过程数据、科目成绩等数据,采用不同的数据处理和数据分析方法,对大学生网络学习进行学习效果相关性分析、用户聚类分析和学习效果预测。通过研究得到了大学生网络学习效果的主要影响因素,不同类型学生的网络学习行为特点,以及对大学生网络学习效果进行预测的模型。Aiming at related learning big data which relies on university network teaching platform,the need of providing decision basis for education managers and evaluation of teaching effects for teachers and students,this paper studies to use the course data,learning process data,subject grades and other data in the online teaching platform,uses different data processing and data analysis methods,so as to analyze the correlation of learning effect,user clustering and predict the learning effect for college students'online learning.Through this research,the main influencing factors of college students'online learning effect,the characteristics of different types of students'online learning behavior,and the model for predicting college students'online learning effect are obtained.

关 键 词：网络教学平台 网络学习分析 学习效果评估 高校决策 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]