从小培养统计学家&探索小学有意义数据的统计项目

Q3 Social Sciences

Statistics Education Research Journal Pub Date : 2020-02-29 DOI:10.52041/SERJ.V19I1.118

Daniel Frischemeier

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引用次数: 8

摘要

由于政治、经济和社会科学中的许多决策都是基于统计数据的，因此统计知识是活跃公民的关键组成部分。统计技能和统计推理在小学阶段已经可以得到提高。因此，不仅在德国，统计数据是小学课程的一个组成部分，通常包括提出问题、收集数据和绘制饼图或条形图等显示内容。但是，为了让学生参与进来，并在早期阶段开始培养下一代统计学家，更具挑战性的激励措施应该让学生参与有意义的统计调查。在这篇论文中，我们描述了一个更大的长期项目的一部分活动，该项目调查了如何以及是否可以为小学设计教学单元，以及它们对早期学生的影响。我们重点关注了为10岁学生测试的特定活动。实证结果表明，除了学习技术和使用软件（TinkerPlots）之外，学生们还获得了一种关于所提出问题的统计推理方式。除了认知发展，我们还记录了我们的课程对年轻学习者的情感影响，这非常好。我们的研究证实，在合适的软件的帮助下，可以引导学生进行复杂的统计活动，例如比较小组。此外，通过该课程可以观察到对统计学的积极态度，这可能是学习统计学取得进一步成功的基础。总之，我们可以为下一代的统计学家铺平道路，他们已经在小学很小的年纪了。2020年2月首次发表于《统计教育研究期刊档案》

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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BUILDING STATISTICIANS AT AN EARLY AGE – STATISTICAL PROJECTS EXPLORING MEANINGFUL DATA IN PRIMARY SCHOOL

Since many decisions in politics, economics, and social sciences are based on statistics, statistical literacy is a key component for an active citizen. Statistical skills and statistical reasoning can already be enhanced in primary school. Therefore, not only in Germany, statistics is an element of the primary-school curriculum, which usually includes issues of posing questions, collecting data, and of drawing displays such as pie charts or bar graphs. But to engage students and to start building future generations of statisticians at an early stage, more challenging incentives should engage students in meaningful statistical inquiries. In this paper, we describe activities that are part of a larger, long-term project that investigates how and if teaching units can be designed for primary schools and what their effect on students at that early age is. We focus on specific activities that have been tested for students at age 10. The empirical results show that – beyond learning techniques and the use of software (TinkerPlots) – the students acquired a way of statistical reasoning about the posed problems. Besides the cognitive development, we also documented the affective impact of our course on the young learners, which was very good. Our studies corroborate that it is possible to lead students to sophisticated statistical activities such as comparing groups with the help of suitable software. Furthermore, a positive attitude towards statistics could be observed as a result of the course, which may be the basis for further success in learning statistics. All in all, we can pave the way to the future generation of statisticians already at an early age in primary school. First published February 2020 at Statistics Education Research Journal Archives

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来源期刊

Statistics Education Research Journal Social Sciences-Education

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free. SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed. The Journal encourages the submission of quality papers related to the above goals, such as reports of original research (both quantitative and qualitative), integrative and critical reviews of research literature, analyses of research-based theoretical and methodological models, and other types of papers described in full in the Guidelines for Authors. All papers are reviewed internally by an Associate Editor or Editor, and are blind-reviewed by at least two external referees. Contributions in English are recommended. Contributions in French and Spanish will also be considered. A submitted paper must not have been published before or be under consideration for publication elsewhere.