DEVELOPING “RECOGNITION OF NEED FOR DATA” IN SECONDARY SCHOOL TEACHERS

Q3 Social Sciences Statistics Education Research Journal Pub Date : 2021-12-25 DOI:10.52041/serj.v20i2.310
Emilse Gómez-Torres
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Abstract

This paper describes the evolution of “recognition of need for data” and “strategical thinking”, two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten in-service secondary-school math teachers during an educational experience (at Bogotá, Colombia), who, in the beginning, showed high performance in procedural knowledge of data analysis. The experience was founded on project based learning that participants proposed and conducted via a survey concerning implications of a Bill, relevant for their job context. These teachers made mistakes and showed difficulties during the two first stages of the investigative cycle, problem formulation, and research planning,  due possibly to their inexperience in designing an empirical inquiry. Teacher educator’s guidance, to turn mistakes into learning opportunities and teachers’ active participation, promoted the development of statistical thinking, especially linked to the types aforementioned. Abstract: Spanish Este artículo describe el desarrollo de “reconocimiento de la necesidad de los datos” y “pensamiento estratégico”, dos de modos de razonamiento identificados por Wild y Pfannkuch (1999) en su marco para pensamiento estadístico en investigación empírica, así como su importancia en la formación de profesores de matemáticas. La investigación se lleva a cabo con diez profesores de matemáticas en ejercicio, durante una experiencia de formación (Bogotá, Colombia), quienes al inicio del curso mostraron un buen nivel de conocimiento procedimental en análisis de datos. En el marco del Aprendizaje Basado en Proyectos, los profesores propusieron y desarrollaron una encuesta relacionada con las implicaciones de la implementación de un proyecto de ley, relevante para ellos. Los profesores cometieron errores y mostraron dificultades durante las dos primeras partes del ciclo investigativo, formulación del problema y planeación de la investigación, debido a su falta de experiencia en la formulación de un estudio empírico. La orientación del formador, para convertir las debilidades en oportunidades de aprendizaje, y la participación activa de los profesores favorecieron el desarrollo de razonamiento estadístico, especialmente asociado a los dos tipos de razonamientos ya mencionados.
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在中学教师中培养“对数据需求的认识”
本文描述了Wild和Pfannkuch在其实证研究统计思维框架中确定的两种思维方式“承认数据需求”和“战略思维”的演变,以及它们与数学教师专业发展的关系。这项研究是在一次教育经历(哥伦比亚波哥大)期间与10名在职中学数学教师进行的,他们最初在数据分析的程序知识方面表现出色。这一经验是基于基于项目的学习,参与者通过对与他们的工作背景有关的法案的影响的调查提出并进行的。这些教师在研究周期、问题制定和研究规划的前两个阶段犯了错误,并表现出困难,这可能是因为他们在设计实证调查方面缺乏经验。教师教育者的指导,将错误转化为学习机会和教师的积极参与,促进了统计思维的发展,特别是与上述类型有关。摘要:西班牙文章描述了Wild和Pfannkuch(1999)在其实证研究统计思维框架中确定的两种推理模式“对数据需求的认识”和“战略思维”的发展,以及它们在数学教师培训中的重要性。这项研究是在一次培训经历(哥伦比亚波哥大)期间对10名在职数学教师进行的,他们在课程开始时表现出良好的数据分析程序知识。在基于项目的学习框架内,教师们提出并开展了一项调查,调查与他们有关的法案实施的影响。由于缺乏制定实证研究的经验,教师在研究周期的前两个部分,即问题的制定和研究的规划中犯了错误并表现出困难。培训师的指导,将弱点转化为学习机会,以及教师的积极参与,有利于统计推理的发展,特别是与上述两种推理有关的推理。
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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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