教师反馈中的缓解:对书面和口头评论的语域分析

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引用次数: 0

摘要

语域是预测语言变化的最重要因素之一。在教师反馈这样的语篇中,语言特点具有特别重要的意义,因为它们可以使反馈更加清晰、详细和/或(去)激励性。缓解策略(即使用对冲和其他软化剂)经常出现在教师反馈中,对反馈的效果影响特别大。本研究比较了书面反馈和口头反馈中使用的缓和策略模式,以深入了解音域的变化。本研究分析了写作反馈语料库(WFC)中的书面评语(以电子形式提供)和口头评语(通过截屏反馈提供,在截屏反馈中,指导教师在分享口头反馈的同时也分享学生作文的截屏)。对这些语域中的 1,568 条评论进行了人工编码,以确定其在头部行为(核心言语行为)中的缓解作用以及在周围话语中的外部修饰作用。使用关键特征分析(Egbert & Biber, 2023)对策略进行了定量比较。研究结果表明,反馈语域促进了不同缓和策略和外部修饰策略的使用,书面反馈偏向于询问句法和无缓和形式,而口语反馈偏向于个人归因、对冲、"我们 "和外部修饰语 "最小化"、"正面评论 "和 "理由"。强调了为学生写作提供反馈的意义。
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Mitigation in instructor feedback: A register analysis of written and spoken comments

Register is among the most important predictors of linguistic variation. In a register such as instructor feedback, linguistic features have particularly high stakes, as they can make feedback more clear, detailed, and/or (de)motivating. Mitigation strategies (i.e., the use of hedges and other softeners) are frequently found in instructor feedback and are particularly influential in terms of the feedback's effectiveness. This study compares the patterns of mitigation strategies used in written and spoken feedback to gain insights into register variation. Written comments (provided electronically) and spoken comments (provided through screencast feedback, in which instructors share verbal feedback along with a screenshare of the student's essay) in the Writing Feedback Corpus (WFC) were analyzed. 1,568 comments across these registers were manually coded for mitigation within head acts (core speech acts) and external modification in the surrounding discourse. Strategies were compared quantitatively using key feature analysis (Egbert & Biber, 2023). The findings indicate that feedback registers promote the use of different mitigation strategies and external modification strategies, with written feedback favoring interrogative syntax and unmitigated forms and spoken feedback favoring personal attribution, hedges, and the nursery we as well as the external modifiers minimizer, positive comment, and reason. Implications for providing feedback on student writing are highlighted.

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来源期刊
Applied Corpus Linguistics
Applied Corpus Linguistics Linguistics and Language
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
70 days
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