基于SPOC平台日志数据的在线学习行为分析及其影响因素研究  

Online learning behavior analysis based on SPOC platform log data and influencing factors

作　　者：孙笑微[1] 

机构地区：[1]沈阳师范大学科信软件学院,沈阳110034

出　　处：《沈阳师范大学学报（自然科学版）》2017年第1期103-107,共5页Journal of Shenyang Normal University:Natural Science Edition

基　　金：辽宁省教育科学"十三五"规划课题(JG16DB408)

摘　　要：MOOCs区别于传统的网络公开课和远程教育,是基于课程与教学论以及网络移动通讯技术发展起来的新兴在线课程模式。很多全球顶尖学府如哈佛大学、加州大学伯克利分校等也在尝试一种更加精致的课程类型——SPOC,SPOC教学模式保证了MOOCs在大学校园能够落地生根。利用SPOC的优势通过对学习者在线行为学习分析对网络课程大数据进行分析和研究,以提高教学质量、完善网络课程系统,既推动了大学的对外品牌效应,也提升了校内的教学质量,重新定义了教师的作用,创新了教学模式,赋予学生完整、深入的学习体验,提高了课程的完成率。对SPOC网络课程的在线学习行为分析和研究将大大推动教育测量和学习分析的发展,促进教育质量的提升,但面临的挑战和困难也不容忽视。MOOCs,different from the traditional open and distance education,is based on curriculum and teaching theory as well as the development of network mobile communication technology.Many top universities,such as Harvard and UC Berkeley,are trying out SPOC（Small Private Online Course）,a more refined course that mixes MOOCs with campus teaching.In this paper,advantage of SPOC for learner＇s online learning behavior is analyzed as well as the research to the network curriculum big data,in order to improve the quality of teaching and the network curriculum system,to improve the quality of campus.SPOC changes the role of teachers,and leads to more effective learning outcomes.Finally,it enables learners to experience entire and deeper learning,raising the completion rate.As a conclusion,the online learning behavior analysis based on SPOC will significantly improve the development of education assessment and learning analytics,as well as education quality.Meanwhile,however,the challenge and difficulties can not be ignored.

关 键 词：MOOCs SPOC 大数据 学习行为分析 

分 类 号：G40-051[文化科学—教育学原理]