摘要
为了明确影响线上学习效果的关联性因素,更好地帮助教师有效提升线上教学质量,依据实际线上教学数据,运用主成分Logistic回归分析模型发现变量之间的因果关系,借助大数据分析技术挖掘学生的在线学习行为,从而找出影响线上学习效果的主要因素。结果表明:选取的学生行为指标与学习效果之间存在相关性;所有指标中仅学习次数与学习效果具有负面效应;课堂互动和课堂讨论是影响线上学习效果的关键因素。
In order to clarify the related factors affecting online learning effect and help teachers to effectively improve the quality of online teaching,according to the actual online teaching data,the principal component logistics regression analysis model was used to find the causal relationship between variables,and the big data analysis technology was used to excavate students’online learning behavior,so as to find out the main factors affecting online learning effect.The results show that there is a correlation between the selected student behavior indicators and the learning effect.Only learning times and learning effects have negative effects in all indicators.Classroom interaction and classroom discussion are the key factors affecting online learning effect.
作者
王晶
司凤山
李会
WANG Jing;SI Feng-shan;LI Hui(School of Management Science and Engineering,Anhui University of Finance and Economics,Bengbu 233030,China)
出处
《辽东学院学报（自然科学版）》
CAS
2021年第3期224-228,共5页
Journal of Eastern Liaoning University:Natural Science Edition
基金
安徽财经大学教研项目(acjyyb2020076)
安徽省教育厅质量工程项目(2020xsxxkc012,2020szsfkc0020)。
