基于MOOC开放数据集的学习行为分析  

Analysis of learning behavior based on open data set of MOOC

作　　者：耿彧 白涛[2] Geng Yu;Bai Tao(College of Health Management,Jinzhou Medical University,Jinzhou 121000;Adult Education Division,Liaoyang Vocational College of Technology,Liaoyang 111004,China)

机构地区：[1]锦州医科大学健康管理学院,辽宁锦州121000 [2]辽阳职业技术学院成教分院,辽宁辽阳111004

出　　处：《中国医学教育技术》2019年第6期655-659,663,共6页China Medical Education Technology

基　　金：辽宁省教育科学“十三五”规划项目(JG17DB188);辽宁省普通高等教育本科教学改革研究项目(13213);辽宁省现代远程教育学会“智慧教学”专项课题(2018XHZHZ-5、2018XHZHZ-6)

摘　　要："互联网+"教育推动了教学模式的网络化进程。MOOC等线上教学模式的广泛开展,为教育研究者提供了海量的学习行为数据。通过对学习特征等信息的统计分析和挖掘,能够更好地掌控线上学习过程,改进课程建设,并很好地调控线下教学环节,达到最佳的教学效果。文章基于edX开放数据集,运用统计分析和主成分分析法对学习者信息、类型和行为进行研究分析,以期为在线教育模式改革提供参考依据。"Internet +" education promotes the network process of teaching model. The ex-tensive development of online teaching models such as MOOC provides abundant learning behav-ior data for educational researchers. Through statistic analysis and data mining of information in-cluding studying features, online studying process will be better controlled, course construction will be improved and offline teaching will be better adjusted so that optimal teaching effect will be finally achieved. Based on edX open data set, this paper adopts statistical analysis and principal component analysis to study and analyze learners’ information, types and learning behaviors, in order to provide reference to the reform of online education model.

关 键 词：MOOC 开放数据集 学习行为 主成分分析 

分 类 号：G40-057[文化科学—教育学原理] G434[文化科学—教育学]