应用基于设计的研究结果改进4-6年级数据和统计的共同核心国家标准

IF 2.2 Q3 Social Sciences Journal of Statistics Education Pub Date : 2019-01-02 DOI:10.1080/10691898.2019.1565935
Randall E. Groth
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引用次数: 4

摘要

数学共同核心国家标准对儿童的统计学习机会产生了广泛的影响。六年级标准设定的目标尤其雄心勃勃。在这篇评论中,帮助孩子们达到6年级共同核心统计期望的经验与先前的研究相结合,以确定如何补充或修改4-6年级的标准,以帮助最大限度地提高学习效果。建议在4-5年级有目的地引入机会,让儿童将数据集视为集合体,并通过关注上下文对统计数据得出合理结论。目前,共同核心对四年级和五年级的这些活动没有明确的学习标准。还建议教师帮助学生质疑他们在总结数据时广泛关注模式的自然倾向。目前的标准没有具体提到模式。以建议的方式修改或补充共同核心,有可能使儿童更容易达到六年级的统计学习标准,并帮助教师更好地预测课堂话语中可能出现的统计思维倾向。
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Applying Design-Based Research Findings to Improve the Common Core State Standards for Data and Statistics in Grades 4–6
Abstract The Common Core State Standards for Mathematics have a widespread impact on children’s statistical learning opportunities. The Grade 6 standards are particularly ambitious in the goals they set. In this critique, experiences helping children work toward the Grade 6 Common Core statistics expectations are used in conjunction with previous research to identify ways in which the Grades 4–6 standards might be supplemented or revised to help maximize learning. It is suggested that opportunities for children to perceive datasets as aggregates and to draw reasonable conclusions about statistical data by attending to context should be purposefully introduced in Grades 4–5. Currently, the Common Core does not have explicit learning standards for these activities in fourth and fifth grade. It is also suggested that teachers help students question their natural tendencies to focus extensively on the mode when summarizing data. The current standards do not specifically mention the mode. Revising or supplementing the Common Core in the suggested ways holds potential to make the Grade 6 statistical learning standards more attainable for children and to help teachers better anticipate the statistical thinking tendencies that are likely to emerge during classroom discourse.
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来源期刊
Journal of Statistics Education
Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
1.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.
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