非正式统计推理背景下幼儿的概率统计推理

Q3 Social Sciences
Gamze Kurt
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引用次数: 0

摘要

本文报道了在非正式推理(IIR)的背景下,幼儿在随机性、可变性和数据表示方面的统计和概率推理。使用IIR方法,在一个案例研究环境中,设计了一项任务,并对28名5至6岁的儿童进行了一对一的研究。研究人员在采访中使用了录音机,拍摄了照片,并记录了现场笔记。根据非正式推理的原则对数据进行分析,即在数据之外进行泛化,将数据作为泛化的证据,并在意识到不确定性的情况下使用概率语言。研究结果表明,幼儿能够从样本空间进行非正式推断,描述事件概率,并构建条形图和饼图数据表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
YOUNG CHILDREN’S PROBABILISTIC AND STATISTICAL REASONING IN THE CONTEXT OF INFORMAL STATISTICAL INFERENCE
This paper reports the statistical and probabilistic reasoning of young children in terms of randomness, variability, and data representations in the context of informal inferential reasoning (IIR). Using the IIR approach, a task was designed and conducted one-on-one with 28 children aged 5 to 6 years old, in a case study setting. The researcher used a voice recorder during interviews, took photos, and recorded field notes. The data were analyzed according to the principles of informal inferential reasoning, which are generalizing beyond the data, using data as evidence for generalizing, and using probabilistic language whilst being aware of uncertainty. The findings indicate that young children are capable of making informal inferences from a sample space, describing event probability, and constructing bar graph and pie chart data representations.
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来源期刊
Statistics Education Research Journal
Statistics Education Research Journal Social Sciences-Education
CiteScore
1.30
自引率
0.00%
发文量
46
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.
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