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Improving quantitative writing one sentence at a time

机译:一次只提高一个句子的定量写作

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摘要

Scientific writing, particularly quantitative writing, is difficult to master. To help undergraduate students write more clearly about data, we sought to deconstruct writing into discrete, specific elements. We focused on statements typically used to describe data found in the results sections of research articles (quantitative comparative statements, QC). In this paper, we define the essential components of a QC statement and the rules that govern those components. Clearly defined rules allowed us to quantify writing quality of QC statements (4C scoring). Using 4C scoring, we measured student writing gains in a post-test at the end of the term compared to a pre-test (37% improvement). In addition to overall score, 4C scoring provided insight into common writing mistakes by measuring presence/absence of each essential component. Student writing quality in lab reports improved when they practiced writing isolated QC statements. Although we observed a significant increase in writing quality in lab reports describing a simple experiment, we noted a decrease in writing quality when the complexity of the experimental system increased. Our data suggest a negative correlation of writing quality with complexity. We discuss how our data aligns with existing cognitive theories of writing and how science instructors might improve the scientific writing of their students.
机译:科学写作,尤其是定量写作,很难掌握。为了帮助本科生更清楚地写数据,我们试图将写作分解为离散的特定元素。我们专注于通常用于描述研究文章结果部分中的数据的陈述(定量比较陈述,QC)。在本文中,我们定义了质量控制声明的基本组成部分以及控制这些组成部分的规则。明确定义的规则使我们能够量化QC语句的写作质量(4C评分)。使用4C评分,我们在学期末测验了学生的写作成绩,与测验前相比(提高了37%)。除了总体得分外,4C得分还可以通过测量每个基本组成部分的存在与否,洞悉常见的写作错误。当学生练习编写孤立的QC陈述时,他们在实验室报告中的写作质量得到​​了提高。尽管我们在描述简单实验的实验室报告中观察到书写质量的显着提高,但是当实验系统的复杂性增加时,我们注意到书写质量的下降。我们的数据表明写作质量与复杂性呈负相关。我们讨论了我们的数据如何与现有的写作认知理论相吻合,以及科学教师如何改善学生的科学写作。

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