数量和质量并重的社会交互网络构建方法创新及验证研究  被引量:3

Towards constructing a social interaction network highlighting both quantity and quality: methodological innovation and verification

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作  者:周炫余 陈丽[2] 郭玉娟 郑勤华 李璇[1] Xuanyu Zhou;Li Chen;Yujuan Guo;Qinhua Zheng;Xuan Li

机构地区:[1]北京师范大学远程教育研究中心,410006 [2]湖南师范大学基础教育大数据研究与应用重点实验室,100875

出  处:《中国远程教育》2022年第9期61-68,79,共9页Chinese Journal of Distance Education

基  金:国家自然科学基金委员会管理学部重点课题“‘互联网+’时代的教育改革与创新管理研究”(课题编号:71834002)的研究成果。

摘  要:学习者交互形成的社会网络是联通主义学习形成的重要网络,但传统的社会网络构建方法仅考虑学习者之间交互的数量,未体现交互质量,对于联通主义学习的解释度存在局限,因而迫切需要创新研究方法。本研究从创新方法的视角,提出数量与质量并重的社会交互网络构建方法,以国内首门c MOOC为研究情境,实际应用了该方法,并基于等距时间切片分别从整体网络、子群网络、个体学习者三个层面挖掘社会网络特征。结果表明:(1)质量与数量并重的学习者社会交互网络是多中心、自组织的复杂网络,更能体现学习者之间交互的紧密程度;(2)社会网络存在多个凝聚子群,子群内学习者持续的交互有利于深层次交互的生成;(3)学习者地位在一定程度上可以预测学习者学习是否成功,且学习者的交互质量与数量相互促进。本研究创新性地提出质量和数量并重的社会交互网络构建方法,发展了社会网络分析方法,为进一步揭示在线学习规律提供了方法借鉴。The social network established as a result of learner interaction is an important network catalyzing connectivist learning. However, traditional social network construction only considers the quantity of interactions between learners, and does not demonstrate the quality of interaction, hence impeding adequate interpretation of connectivist learning. Innovative research methods are needed to address this limitation.To this end, this study proposes a social interaction network construction method that pays equal attention to quantity and quality. The proposed method is tested in the first cMOOC in China. Based on isometric time slices, the characteristics of social networks are mined from three levels: the overall network,the subgroup network, and individual learners. The results show that:(1) the social interaction network of learners with equal emphasis on quality and quantity is a complex network with polycentric and self-organizing characteristics, which can better reflect the close degree of interaction between learners;(2) there are multiple cohesive subgroups in the social network, and continuous interaction among learners within subgroups is conducive to the generation of deep interaction;(3) to some extent, learner status can predict the success of learners’ learning, and the quality and quantity of learners’ interaction promote each other. This study has implications for innovative social network analysis to better shed light on online learning.

关 键 词:联通主义 联通型慕课 学习者交互 社会网络 社会交互网络 子群网络 教学交互 学习规律 

分 类 号:G434[文化科学—教育学]

 

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