DESIGN PRINCIPLES FOR DEVELOPING STATISTICAL LITERACY IN MIDDLE SCHOOLS

Q3 Social Sciences Statistics Education Research Journal Pub Date : 2022-02-28 DOI:10.52041/serj.v21i1.80
C. Büscher
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引用次数: 2

Abstract

Statistical literacy is a skill that will be required by all students, but only limited insights exist into how it can be developed in middle schools. Research is required that identifies design principles and provides didactic materials for developing statistical literacy in actual middle school classrooms, meaning classrooms in which statistics is only seen as a small part of mathematics. This study conceptualizes statistical literacy as not only the ability to read given statistical information, but also as the ability to imagine the often unreported data and underlying assumptions of this information. This allows the Design Research study to identify design principles for developing statistical literacy in which students actively engage with conflicting statistical information about the same data. The working mechanisms of the design principles are illustrated through didactic materials, and student responses show how the design principles can be used to develop statistical literacy in middle schools.
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中学统计素养培养的设计原则
统计素养是所有学生都需要的技能,但对如何在中学培养统计素养的见解有限。需要进行研究,确定设计原则,并为在实际中学课堂上培养统计素养提供教学材料,这意味着统计只被视为数学的一小部分。这项研究将统计素养概念化为不仅阅读给定统计信息的能力,而且想象经常未报告的数据和这些信息的基本假设的能力。这使得设计研究研究能够确定培养统计素养的设计原则,在这些原则中,学生积极参与关于相同数据的相互冲突的统计信息。通过教学材料说明了设计原则的工作机制,学生的反应表明了如何利用设计原则来提高中学的统计素养。
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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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