Qualitative Analysis of Video Data: Standards and Heuristics
Qualitative Analysis of Video Data: Standards and Heuristics
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视频数据的定性分析：标准和启发法
DOI：
10.22318/icls2016.163
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Jaakko Hilppö
中科院分区：
文献类型：
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作者：
Kay E. Ramey;Dionne Champion;Elizabeth B. Dyer;Danielle T. Keifert;Christina Krist;P. Meyerhoff;Krystal Villanosa;Jaakko Hilppö
视频研究是学习科学中越来越重要的方法。视频为研究人员提供了独特的分析启示，但也呈现出独特的紧张局势，其中许多尚未在文献中得到充分解决。本次研讨会的作者借鉴他们的不同经验，分析了各种视频语料库，为视频分析过程提供理论和方法标准和技巧。我们专注于三个主题的视频分析过程中，将受益于增加理论和方法的关注：转录的紧张局势，定义分析的单位，并表示上下文。我们讨论了我们的视频分析方法是如何被理论框架化的，以及我们如何将它们应用于特定的数据集，以回答各种研究问题。在这样做的时候，我们明确了一些交叉的方法规范，并邀请来自多个分析传统的继续讨论这些规范。
Video research is an increasingly important method in the learning sciences. Video provides unique analytical affordances to researchers but also presents unique tensions, many of which have not yet been adequately addressed in the literature. The authors of this symposium draw on their diverse experiences, analyzing a variety of video corpuses, to provide theoretical and methodological standards and heuristics for the process of video analysis. We focus on three themes central to the process of video analysis that would benefit from increased theoretical and methodological attention: transcription tensions, defining the unit of analysis, and representing context. We discuss how our approaches to video analysis are framed by theory and how we have applied them to specific datasets, to answer a variety of research questions. In doing so, we make explicit some crosscutting methodological norms and invite continued discussion about these norms from multiple analytic traditions.