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在线学习者可以通过多样化的社交媒体随时交流思想和分享信息,随之形成个人知识网络。同时,在与其他学习同伴的交互过程中也可产生协同效应。近年来,越来越多的教育研究者开始关注在线学习环境下学习群体的社会交互行为,利用社会网络分析法发现学习者的交互规律进而提高在线学习的质量和成效。该文首先描述了社会网络分析、学习分析的相关概念;其次,通过文献分析法,对国内外采用社会网络分析法的学习分析研究进行综述;最后,归纳出网络环境下社会网络分析法在学习分析中应用的六个主要方面,旨在揭示社会网络分析方法在当前学习分析领域的研究状况和发展态势,为数据驱动下的学习分析研究提供参考。
Abstract：Online learners can exchange ideas and information at any time through the rich social media, thus the individual knowledge networks can be formed. Simultaneously, the synergistic effects can be generated during peer interaction processes. In recent years, more and more educational researchers have begun to pay attention to the social interaction behaviors within the learning community formed under the online learning environment, and utilized social network analysis approaches to reveal learners' interaction patterns to improve the quality and effectiveness of online learning. In this paper, firstly, we describe the related concepts about social network analysis and learning analytics. Secondly, through the literature analysis, we summarize domestic and foreign learning analytic research in social network analysis. Finally, we summarize six primary aspects of applications of social network analysis in the learning analytics field under the network environment. This summary aims to reveal the current research situation and developing tendency of social network analysis method in learning analytics field to provide the references for data-driven learning behavior analysis research.
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基本信息:
中图分类号:G434
引用信息:
[1]刘三(女牙),石月凤,刘智,等.网络环境下群体互动学习分析的应用研究——基于社会网络分析的视角[J].中国电化教育,2017,No.361(02):5-12.
基金信息:
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年度华中师范大学中央高校基本科研业务费教育科学专项资助项目“数据驱动的学习行为分析关键技术研究”(项目编号:CCNU16JYKX030)研究成果之一
2017-02-15
2017-02-15
2017-02-15