摘要
通过收集在线课程平台上的学生学习状态数据,利用现有的大数据技术先对学生的学习行为数据进行聚类分析,然后与学习成效之间关联分析研究,最后将分析结果可视化处理,找出在线教学中存在的问题并提出可行的建议,为提高在线教学的质量提供参考。
Based on the data of students'learning status on the online course platform,the existing big data technology is used to cluster the data of students'learning behavior,to analyze the relationship between the data and students’learning effectiveness.Finally,the analysis results are visualized to help find out the problems in online teaching to provide feasible suggestions for improving the quality of online teaching.
作者
秦晓安
王睿
程鸿芳
QIN Xiao-an;WANG Rui;CHENG Hong-fang(Department of Electronic Information Engineering,Anhui Business College,Wuhu 241002,China;School of Information Engineering,Wuhu Institute of Technology,Wuhu 241002,China)
基金
安徽省重大线上教学改革研究项目(2020zdxsjg123)
安徽省重大线上教学改革研究项目(2020zdxsjg383)
安徽商贸职业技术学院科研项目(2020ZDX01)。
关键词
线上教学
学习行为
学习成效
大数据
online teaching
learning behavior
learning effectiveness
big data
