高校SPOC环境下学习者行为序列的差异性分析研究

发布时间：2018-03-18 12:21

本文选题：学习行为　切入点：二阶序列分析　出处：《中国电化教育》2017年07期 　论文类型：期刊论文

【摘要】：由于教学方式的灵活性与学习的可控性,小规模限制性在线课程(Small Private Online Course,SPOC)在高等教育学府教学实践中备受欢迎,而目前针对高校SPOC环境下学习行为模式和规律的研究还甚少。该文以华中师范大学自主开发的SPOC平台Star C中12517名在校大学生在一学年内的学习行为记录作为研究对象,并对其学习行为进行了实证观察、编码与分析。首先邀请两名专家对行为数据进行编码,提取学生学习行为的二阶转移序列,然后对编码数据采用频率统计分析和二阶序列分析以发现高校SPOC教学中学生行为序列的概率分布和状态转移模式。在此基础上,采用滞后序列分析法(Lag Sequential Analysis,LSA)提取每个年级学生最显著的行为模式,据此发现不同年级群体行为操作的规律性,并对不同年级下学生行为模式的差异性进行分析。最后,评估了学习平台的可操作性、可扩展性与局限性并为今后SPOC环境下学习行为的研究提出建议。
[Abstract]:Because of the flexibility of teaching methods and the controllability of learning, small Private Online courses are popular in the teaching practice of higher education institutions. However, there are few researches on the learning behavior patterns and rules in the SPOC environment. This paper takes the record of learning behavior of 12517 college students in Star C, a SPOC platform developed by Central China normal University, as the research object. At first, two experts are invited to encode the behavior data and extract the second-order transfer sequence of the students' learning behavior. Then, the frequency statistical analysis and the second order sequence analysis are used to find out the probability distribution and the state transition pattern of the behavior sequence of SPOC teaching students in colleges and universities. Lag sequence analysis method was used to extract the most significant behavior patterns of students in each grade. Based on this, the regularity of group behavior in different grades was found, and the differences of behavior patterns of students in different grades were analyzed. The maneuverability, extensibility and limitation of the learning platform are evaluated, and some suggestions for the study of learning behavior under SPOC environment are put forward.
【作者单位】：华中师范大学国家数字化学习工程技术研究中心;
【基金】：2016年度教育部人文社会科学研究青年基金项目“高校慕课环境下的互动话语行为及其对学习效果的影响机理研究”(项目编号:16YJC880052) 2016年度教育部—中国移动科研基金项目“国家教育大数据相关问题研究”(项目编号:MCM20160401)研究成果之一
【分类号】：G434;G642

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