DEVELOPMENT OF A STATISTICAL RESEARCH PROJECT IN CHILDHOOD: INTERFACES WITH LIFE SCIENCES

Q3 Social Sciences
Celi Espasandin Lopes, Adriana Augusto, Sezilia Toledo
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引用次数: 0

Abstract

The objective of this article is to discuss the development of statistical and probabilistic reasoning in childhood as a result of an interdisciplinary project, involving the fields of mathematics, statistics, and life sciences. This is a case study with three 10-year-old students from a Brazilian school. The children’s oral and written narratives are used as a methodological path. It is an investigation process that examines human actions and considers social practices, subjective experience, identity, beliefs, emotions, values, context, and complexity. The results show that an interdisciplinary study involving life sciences, mathematics and statistics promoted the development of statistical and probabilistic reasoning, appropriate to the age group, enabling the children to positively rescale their eating habits.
儿童统计研究项目的发展:与生命科学的结合
本文的目的是讨论统计和概率推理在儿童时期的发展,这是一个跨学科项目的结果,涉及数学、统计学和生命科学领域。这是一个来自巴西一所学校的三个10岁学生的案例研究。孩子们的口头和书面叙述被用作方法论路径。这是一个调查过程,检查人类行为,并考虑社会实践,主观经验,身份,信仰,情感,价值观,背景和复杂性。结果表明,一项涉及生命科学、数学和统计学的跨学科研究促进了适合年龄组的统计和概率推理的发展,使儿童能够积极地重新调整他们的饮食习惯。
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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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