课本任务提供的学习平均数、中位数和模式的机会

Q3 Social Sciences

Statistics Education Research Journal Pub Date : 2023-12-04 DOI:10.52041/serj.v22i3.655

Karin Landtblom

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引用次数: 0

摘要

本研究论文考察了瑞典10-13岁学生的七本教科书系列中的均值、中位数和众数相关任务。根据上下文、数学属性、输入和输出对象以及转换对任务进行了分析。这些分类允许对提供给学生理解这些措施的机会进行彻底的分析。分析表明，大多数任务集中在平均值和具有定量值的程序转换上。研究结果表明，教科书没有为学生提供足够明确的背景，以发展对集中趋势不同度量的数学性质的深刻理解。通过对各种教材的分析，我们对提供给学生的学习机会有了更广泛的了解。讨论包括这些结果对任务设计的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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OPPORTUNITIES TO LEARN MEAN, MEDIAN, AND MODE AFFORDED BY TEXTBOOK TASKS

This research paper examines tasks related to mean, median, and mode in seven Swedish textbook series for students aged between 10–13 years. The tasks were analysed based on context, mathematical properties, input and output objects, and transformations. These categories allowed for a thorough analysis of the opportunities afforded to students to understand these measures. The analysis revealed that most tasks focus on the mean and on procedural transformations with quantitative values. The findings suggested that the textbooks do not afford enough explicit context for students to develop a deep understanding of the mathematical properties of different measures of central tendency. By analysing various textbooks, a broader understanding of the learning opportunities afforded to students was gained. The discussion includes the implications of these results for task design.

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来源期刊

Statistics Education Research Journal Social Sciences-Education

CiteScore

1.30

自引率

0.00%

发文量

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.