DEVELOPING DATA SENSE: MAKING INFERENCES FROM VARIABILITY IN TSUNAMIS AT PRIMARY SCHOOL

Q3 Social Sciences
Soledad Estrella, Andrea Vergara, O. González
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引用次数: 3

Abstract

In order to study the manifestation of data sense and identify ways of thinking about variability in authentically realistic problems in a group of Chilean fifth-grade students, a lesson plan was designed and implemented, within the framework of statistical literacy and using the “lesson study” modality, in which students were urged to make inferences based on the analysis of data corresponding to the tsunami that struck the Chilean coast in 2010. This article focuses on the qualitative study of the data representations produced by two groups of students during the implementation of the lesson plan. The analysis of the behavior of the tsunami carried out by the students led them to work simultaneously with nominal qualitative, ordinal qualitative, discrete quantitative, and continuous quantitative variables; to create new variables; to construct representations of data (multiple bar graphs and frequency tables); and to make inferences based on the data. We conclude that the use of an authentic context and the construction of their own representations promoted data sense in students and facilitated the development of their statistical thinking, through which they were able to recognize, describe, and explain the variability of the phenomenon. Abstract: Spanish Con el propósito de estudiar la manifestación del sentido del dato e identificar las formas de razonar la variabilidad en problemas auténticamente realistas en un grupo de estudiantes chilenos de quinto grado de primaria, se diseñó e implementó un plan de clases, en el marco de alfabetización estadística y bajo la modalidad “lesson study”, en el que se instó a los estudiantes a hacer inferencias a partir del análisis de los datos correspondientes al tsunami que azotó la costa de Chile en 2010. Este artículo se centra en el estudio cualitativo de las representaciones de datos producidas por dos grupos de estudiantes durante la implementación del plan de clases. El análisis del comportamiento de los datos del tsunami realizado por los estudiantes los llevó a trabajar simultáneamente con variables cualitativas nominales, cualitativas ordinales, cuantitativas discretas y cuantitativas continuas; crear nuevas variables; elaborar representaciones de datos (gráfico de barras múltiples y tabla de frecuencias); y hacer inferencias basadas en los datos. Se concluye que el uso de un contexto auténtico y la construcción de representaciones propias, promovieron en los estudiantes el sentido del dato y facilitaron el desarrollo de su pensamiento estadístico, pudiendo reconocer, describir y explicar la variabilidad del fenómeno.
发展数据感:从小学海啸的可变性中推断
为了研究数据感的表现形式,并确定一组智利五年级学生在真正现实问题中对变异性的思考方式,在统计文献的框架内,利用“教训研究”模式,设计和实施了一项教学计划,敦促学生根据对2010年袭击智利海岸的海啸相关数据的分析进行推断。这篇文章的重点是对两组学生在实施教学计划期间产生的数据表示进行定性研究。学生对海啸行为的分析导致他们同时使用名义定性、顺序定性、离散定量和连续定量变量;创建新变量;构建数据表示(多条形图和频率表);并根据数据进行推断。我们的结论是,使用真实的背景和建立自己的代表性促进了学生的数据意识,促进了他们统计思维的发展,通过这些思维,他们能够识别、描述和解释这一现象的多样性。摘要:西班牙为了研究数据意义的表现形式,并确定推理一组智利五年级学生真实现实问题中变异性的方法,在统计素养框架内,在“课时研究”模式下设计并实施了一项教学计划,他敦促学生们根据对2010年袭击智利海岸的海啸数据的分析进行推断。本文的重点是对两组学生在实施教学计划期间产生的数据表示进行定性研究。学生对海啸数据行为的分析使他们同时使用名义定性变量、顺序定性变量、离散定量变量和连续定量变量;创建新变量;制作数据表示(多条形图和频率表);并根据数据进行推断。得出的结论是,使用真实的背景和构建自己的表征,促进了学生的数据意识,促进了他们统计思维的发展,能够识别、描述和解释现象的变异性。
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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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