统计学的社会建构教学

M. Schield
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引用次数: 9

摘要

贝斯特(2001)断言“所有的统计数据都是社会建构的。”本文研究了三个问题。(1)贝斯特的论点正确吗?(2)如果是这样,是否应该在统计学入门课程中教授这一事实?(3)如果是这样的话,不依赖于特定学科的详细知识,可以教授哪些涉及统计学社会建构的一般原则?艾萨克森(2011)指出,统计的社会建构很容易通过问学生“统计从何而来?”一项小型调查的结果显示,统计教育工作者在是否应该教授这一主题的问题上存在严重分歧。介绍了奥格斯堡学院统计素养教学中使用的问题和原则的例子。本文认为,艾萨克森的问题“统计数据从何而来?”是统计教育的基础,应该是任何以“统计素养”为主题的课程的中心。如果没有时间在统计入门课程中教授这些材料,那么统计教育者应该支持提供一个单独的统计扫盲课程,以涵盖这个重要的主题。
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Teaching the social construction of statistics
Best (2001) asserts that “all statistics are socially constructed.” This paper investigates three questions. (1) Is Best’s thesis true? (2) If so, should this fact be taught in introductory statistics courses? (3) If so, what general principles involving the social construction of statistics can be taught that don’t rely on detailed knowledge of a particular subject? Isaacson (2011) notes that the social construction of statistics is readily presented by asking students “Where do statistics come from?” Results of a small survey show that statistical educators are seriously divided on whether this topic should be taught. Examples of questions and principles used in teaching Statistical Literacy at Augsburg College are presented. This paper argues that the Isaacson question, “Where do statistics come from?” is fundamental to statistical education and should be at the center of any course titled “statistical literacy”. If there isn’t time to teach this material in introductory statistics courses, then statistical educators should support offering a separate statistical literacy course in order to cover this important topic.
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