统计推理学习环境:学生统计推理能力的比较

IF 2.2 Q3 Social Sciences Journal of Statistics Education Pub Date : 2019-08-28 DOI:10.1080/10691898.2019.1647008
Basil Conway, W. Gary Martin, Marilyn E. Strutchens, M. Kraska, Huajun Huang
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引用次数: 8

摘要

摘要本研究的目的是研究在高级安置统计学课程中,遵守统计推理学习环境(SRLE)原则对学生统计推理的影响。采用准实验设计,通过匹配过程比较教师对SRLE原则的遵守程度,以减轻非随机作业的影响。这一匹配过程导致了五对相似的教师和学校在自我报告的SRLE原则的有效性和应用方面存在差异。在高一致性和低一致性的课堂上,学生的统计推理能力在不同程度上都有所提高。不符合SRLE原则的教师的进步变化较小,与全国大学生的进步平均值一致。与SRLE原则高度一致的类别的改进更加多样化。两位教师的学生对SRLE原则的遵守程度很高,与全国结果相比,他们在统计推理方面有了很大的改进。虽然课堂对SRLE原则的遵守情况的比较显示,学生的统计推理能力没有统计学上的显著差异,但更深入的分析表明,与SRLE原则相一致的信念和实践有可能以高于全国平均水平的速度提高学生的统计推理能力。
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The Statistical Reasoning Learning Environment: A Comparison of Students’ Statistical Reasoning Ability
Abstract The purpose of this study was to study the impact of conformity to statistical reasoning learning environment (SRLE) principles on students’ statistical reasoning in advanced placement statistics courses. A quasi-experimental design was used to compare teachers’ levels of conformity to SRLE principles through a matching process used to mitigate the effects of nonrandom assignment. This matching process resulted in five pairs of similar teachers and schools who differed in self-reported beliefs in the effectiveness and application of SRLE principles. Increases in students’ statistical reasoning were found at varying levels in both high and low conformity classrooms. Improvements among teachers with low conformity to SRLE principles were less varied and consistent with national averages for improvement by college students. Improvements in classes with high conformity to SRLE principles were more varied. Students of two teachers with high levels of conformity to SRLE principles showed large levels of improvement in statistical reasoning in comparison to national results. While the comparison between classrooms conformity to SRLE principles revealed no statistically significant differences in students’ statistical reasoning ability, deeper analysis suggests that beliefs and practices aligned with SRLE principles have potential to increase students’ statistical reasoning at rates above national averages.
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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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