摘要
随着近年来慕课教学的兴起,教育大数据的分析与挖掘正成为一个新的研究方向。本文基于Canvas Network提供的MOOC开放数据,使用数据统计和数据挖掘的方式,对学习者的类型与行为进行了统计分析,并探究了学习行为与学习成效之间的相关性,并基于分析结果对个性化的在线学习方式提出了有益的建议。
With the advance and popularity of MOOCs in the recent years,the analysis and mining of large educational data is becoming a new research direction.This research utilized the public MOOCs learning data provided by Canvas Network.By using data statistics and data mining methods,the types and behaviors of learners were statistically analyzed and the correlation between learning behavior and learning effectiveness was explored.Based on the analysis results,some useful suggestions for personalized online learning could be put forwarded.
作者
陈兰岚
宋海虹
CHEN Lan-lan;SONG Hai-hong(College of Information,East China University of Science and Technology,Shanghai 200237,China)
出处
《教育教学论坛》
2019年第21期50-51,共2页
Education And Teaching Forum
基金
华东理工大学继续教育教学研究项目的研究成果
关键词
MOOC
学习行为
学习成效
数据挖掘
个性化学习
MOOCs
learning behavior
learning effectiveness
data mining
personalized learning