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Refining qualitative ethnographies using Epistemic Network Analysis: A study of socioemotional learning dimensions in a Humanistic Knowledge Building Community
Computers & Education ( IF 12.0 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.compedu.2020.103943
Yotam Hod , Shir Katz , Brendan Eagan

Abstract Contemporary educational research has increasingly pointed to socioemotional dimensions of learning as important in promoting academic progress and sociocognitive developments. Epistemic Network Analysis, a methodology for producing quantitative ethnographies based on complex learning environments, has only begun to examine socioemotional facets of learning in classrooms. The aim of this research is to investigate what and how Epistemic Network Analysis can contribute to qualitative, socioemotionally-focused ethnographies of classroom learning communities. To do this, we employed Epistemic Network Analysis to analyze data collected during a semester of studies, in parallel to a stage developmental analysis of the same community using qualitative methods. The results of this study specifically show the importance of prior experience and how this interacts with participants' connectedness to the community, as well as how group dynamics are a vital aspect of community discourse and that the socioemotional dimensions that people attach to it may be the determinants of stage advancement. More generally, this study shows how Epistemic Network Analysis can be used to better understand complex socioemotional phenomena in learning communities by combining it with deep, qualitative ethnographies.

中文翻译:

使用认知网络分析提炼定性民族志:人文知识建设社区中社会情感学习维度的研究

摘要 当代教育研究越来越多地指出学习的社会情感维度对于促进学术进步和社会认知发展具有重要意义。认知网络分析是一种基于复杂学习环境生成定量民族志的方法,它才刚刚开始研究课堂学习的社会情感方面。本研究的目的是调查认知网络分析如何以及如何有助于课堂学习社区的定性的、以社会情感为重点的民族志。为此,我们使用认知网络分析来分析在一个学期的研究中收集的数据,同时使用定性方法对同一社区进行阶段发展分析。这项研究的结果特别显示了先前经验的重要性以及它如何与参与者与社区的联系相互作用,以及群体动态如何成为社区话语的一个重要方面,以及人们所依附的社会情感维度可能是阶段进步的决定因素。更一般地说,这项研究展示了如何通过将认知网络分析与深入的定性民族志相结合,使用认知网络分析来更好地理解学习社区中复杂的社会情感现象。
更新日期:2020-10-01
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