“We don’t say that word out loud”: a grounded practical theory for analyzing difficult data in language and social interaction classrooms

Pub Date : 2022-11-27 DOI:10.1080/03634523.2022.2148708
Michaela R. Winchatz, L. Sprain, Saila Poutiainen, Evelyn Y. Ho
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Abstract

ABSTRACT In this article, we use grounded practical theory to develop a practical theory for using “difficult data” in Language and Social Interaction university classes. “Difficult data” are transcribed, audio/video-recorded data that contain language and ideologies that could be offensive, bigoted, or otherwise disturbing. We provide contextual literature for understanding the pedagogical tensions around using these data from communication pedagogy research as well as social theory for handling the language within the data. We base our analysis on various types of data from academia: an international/intercultural pedagogical speech event, student surveys, field notes, interview, and recordings of classroom instruction using difficult data. We provide a practical theory focused on techniques for managing the central problem that instructors want students to analyze the social consequences of interaction without replicating the problematic impacts of discourse that make difficult data difficult. Our theory reveals four techniques including framing the data as difficult, surveying students before the class, using already-published research data, and metacommunicating about these dilemmas. These techniques do not promise inviolability, but instructors can foster deliberative reflection/co-orientation about classroom interaction that considers whether the use of difficult data can help students develop analysis-informed praxis.
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“我们不会大声说出来”:一个分析语言和社交课堂中困难数据的有根据的实践理论
摘要在这篇文章中,我们使用扎根的实践理论来开发一个在大学语言与社会互动课程中使用“困难数据”的实践理论。“困难数据”是转录的音频/视频记录数据,其中包含可能具有攻击性、偏执或其他令人不安的语言和意识形态。我们提供了上下文文献,以了解围绕使用这些来自传播教育学研究的数据的教学紧张关系,以及处理数据中语言的社会理论。我们的分析基于学术界的各种类型的数据:国际/跨文化教学演讲活动、学生调查、现场笔记、访谈和使用困难数据的课堂教学录音。我们提供了一个实用的理论,专注于管理核心问题的技术,即教师希望学生分析互动的社会后果,而不复制使困难数据变得困难的话语的问题影响。我们的理论揭示了四种技术,包括将数据框定为困难数据、课前调查学生、使用已经发表的研究数据以及对这些困境进行元沟通。这些技术并不保证不可侵犯,但教师可以促进对课堂互动的深思熟虑的反思/共同导向,考虑使用困难的数据是否可以帮助学生发展分析知情的实践。
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