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Titlebook: International Handbook of Research in Statistics Education; Dani Ben-Zvi,Katie Makar,Joan Garfield Book 2018 Springer International Publis

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书目名称International Handbook of Research in Statistics Education
编辑Dani Ben-Zvi,Katie Makar,Joan Garfield
视频videohttp://file.papertrans.cn/472/471643/471643.mp4
概述Establishes statistics education as a legitimate field of knowledge and study.Provides a solid foundation for varied perspectives on statistics education.Examines current practices and future directio
丛书名称Springer International Handbooks of Education
图书封面Titlebook: International Handbook of Research in Statistics Education;  Dani Ben-Zvi,Katie Makar,Joan Garfield Book 2018 Springer International Publis
描述This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators.  Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research..
出版日期Book 2018
关键词Assessment in Statistics Education; Evolution of Statistics Education; Practitioners as Statisticians;
版次1
doihttps://doi.org/10.1007/978-3-319-66195-7
isbn_softcover978-3-319-88192-8
isbn_ebook978-3-319-66195-7Series ISSN 2197-1951 Series E-ISSN 2197-196X
issn_series 2197-1951
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Reasoning About Datameworks and taxonomies that can assess learner reasoning in regard to these concepts and discusses the influence of digital tools to enhance learner statistical reasoning. Finally, some insights for future directions in research about reasoning about data are provided.
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Introducing Children to Modeling Variabilityaves the way for children in the upper elementary grades to make informal inferences in light of probability structures. All of these practices can be elaborated and even transformed with new generations of digital technologies.
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atures of the PNC. Two fundamentally different types of morphologies are encountered in the limits of low and high grafting densities. The role of neutron scattering techniques, in combination with other characterization techniques, is shown to play an important role toward understanding the molecul
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t is mainly shaped by the numerous technological developments that can be envisioned by the complex interplay of surface/volume ratio, confinement topology, and dimensionality (3D to 1D). In the present contribution, our aim is to highlight some recent advances towards a better understanding of the
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