著者

大嶌 竜午 ロバーツ ロス 大高 泉

出版者

一般社団法人 日本科学教育学会

雑誌

科学教育研究 (ISSN:03864553)

巻号頁・発行日

vol.35, no.2, pp.111-118, 2011-06-10 (Released:2017-06-30)

参考文献数

26

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Understanding scientific evidence is now an important component of school science curricula in many countries. Empirical work produces datasets with inherently varied data and statistical techniques are important to analyse the uncertainty. Research has shown, however, that students do not have a good understanding of the varied nature of data and how this affects the quality of the evidence, in terms of its validity and reliability. But can such an understanding be taught? This paper describes the ideas that form the knowledge-base for an understanding of evidence-the Concepts of Evidence-and illustrates how some of the ideas important for understanding the nature of varied data, which underpins an understanding of uncertainty and statistics, might be explicitly taught to pupils. The implications for practice are discussed.