MATHEMATICALLY GIFTED STUDENTS' ANALOGY IN STATISTICS

被引：0

作者：

Park, Mimi ^{[1
]}

Ko, Eun-Sung ^{[1
]}

Lee, Dong-Hwan ^{[2
]}

Lee, Kyeong-Hwa ^{[2
]}

机构：

[1] Seoul Natl Univ, Grad Sch, Seoul 151, South Korea

[2] Seoul Natl Univ, Korea Fdn Adv Sci & Creativ, Seoul 151, South Korea

来源：

PROCEEDINGS OF THE 35TH CONFERENCE OF THE INTERNATIONAL GROUP FOR THE PSYCHOLOGY OF MATHEMATICS EDUCATION, VOL. 3: DEVELOPING MATHEMATICAL THINKING | 2011年

关键词：

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Statistical thinking handles concrete data. However, many of the concepts used in statistics are abstract in nature. In statistics, analogy can be used and should be used to grasp and to represent abstract concepts. Statistics is regarded as different discipline from mathematics due to various aspects of statistics, especially the crucial role of context. This study investigated mathematically gifted students' analogy in statistics. The gifted were asked to construct similar problems to base problem that is a statistical problem. On the basis of analysis on students' new problems, researchers could classify them into four types of analogy in statistics: Success in both structural and contextual analogy, success in structural analogy, structural generalization, and failure in both structural and contextual analogy.

引用

页码：345 / 352

页数：8

共 17 条

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