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Titlebook: Reconceptualizing the Nature of Science for Science Education; Scientific Knowledge Sibel Erduran,Zoubeida R. Dagher Book 2014 Springer Net

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發(fā)表于 2025-3-21 17:51:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Reconceptualizing the Nature of Science for Science Education
副標(biāo)題Scientific Knowledge
編輯Sibel Erduran,Zoubeida R. Dagher
視頻videohttp://file.papertrans.cn/825/824149/824149.mp4
概述Introduces an innovative approach to nature of science (NOS) in science education.Synthesizes perspectives from the fields of philosophy of science, and science education.Give a holistic representatio
叢書(shū)名稱(chēng)Contemporary Trends and Issues in Science Education
圖書(shū)封面Titlebook: Reconceptualizing the Nature of Science for Science Education; Scientific Knowledge Sibel Erduran,Zoubeida R. Dagher Book 2014 Springer Net
描述.Prompted by the ongoing debate among science educators over ‘nature of science’, and its importance in school and university curricula, this book is a clarion call for a broad re-conceptualizing of nature of science in science education. The authors draw on the ‘family resemblance’ approach popularized by Wittgenstein, defining science as a cognitive-epistemic and social-institutional system whose heterogeneous characteristics and influences should be more thoroughly reflected in science education. They seek wherever possible to clarify their developing thesis with visual tools that illustrate how their ideas can be practically applied in science education..The volume’s holistic representation of science, which includes the aims and values, knowledge, practices, techniques, and methodological rules (as well as science’s social and institutional contexts), mirrors its core aim to synthesize perspectives from the fields of philosophy of science and science education. The authorsbelieve that this more integrated conception of nature of science in science education is both innovative and beneficial. They discuss in detail the implications for curriculum content, pedagogy, and learning
出版日期Book 2014
關(guān)鍵詞Domain-specificity in scientific inquiry; Epistemic practices of science; Family Resemblance Approach;
版次1
doihttps://doi.org/10.1007/978-94-017-9057-4
isbn_softcover978-94-024-0539-2
isbn_ebook978-94-017-9057-4Series ISSN 1878-0482 Series E-ISSN 1878-0784
issn_series 1878-0482
copyrightSpringer Netherlands 2014
The information of publication is updating

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發(fā)表于 2025-3-21 21:45:54 | 只看該作者
Sibel Erduran,Zoubeida R. Dagherciples from our experience, by inspecting our usual approaches and choices when we receive new data that need to be analysed. However, these principles correspond very well to ideas expressed by other researchers in the areas of visualisation, data analysis, systems analysis, and cognitive psycholog
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發(fā)表于 2025-3-22 07:39:34 | 只看該作者
Sibel Erduran,Zoubeida R. Daghernts. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the development of many different time series causality approaches and tools including transfer entropy, convergent cross-mapping (CCM), and Gra
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Sibel Erduran,Zoubeida R. Daghervide a useful diagnostic of the health of an ecology. In other applications to ecology, extreme physical information (EPI) has been used to derive the population-rate (or Lotka-Volterra) equations of ecological systems, both directly [.] and indirectly (Chapter 5) via the quantum Schrodinger wave eq
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發(fā)表于 2025-3-23 00:52:12 | 只看該作者
Sibel Erduran,Zoubeida R. Dagherdy on sweet-pea seeds by Sir Francis Galton (1822–1911). He used the idea of regression again in a later study on the heights of fathers and sons. He discovered that sons of tall fathers are tall but somewhat shorter than their fathers, while sons of short fathers are short but somewhat taller than
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發(fā)表于 2025-3-23 06:56:24 | 只看該作者
aders with an understanding of the thinking processes underlIn a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic anal
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