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Titlebook: Learn Science, Learn Math, Learn to Teach Science and Math, Homo Sapiens; Hedy Moscovici,Tal Moscovici,Penny J. Gilmer Book 2013 SensePubl

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發(fā)表于 2025-3-21 17:09:28 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Learn Science, Learn Math, Learn to Teach Science and Math, Homo Sapiens
編輯Hedy Moscovici,Tal Moscovici,Penny J. Gilmer
視頻videohttp://file.papertrans.cn/583/582634/582634.mp4
概述Written by experts, Gives a modern approach, Comprehensive in Scope
叢書名稱Cultural Perspectives in Science Education
圖書封面Titlebook: Learn Science, Learn Math, Learn to Teach Science and Math, Homo Sapiens;  Hedy Moscovici,Tal Moscovici,Penny J. Gilmer Book 2013 SensePubl
描述Dr. Hedy Moscovici’s life on three continents and her battle with ovarian cancer shaped the unique co-learning and participative leadership perspective on science and mathematics education shared in this book. This text has multiple audiences – prospective and practicing teachers wanting to motivate their students to learn, science and mathematics educators mentoring teachers to become transformative intellectuals and critical pedagogues, parents interested in their children’s advancement, and interested policymakers and public wishing to deepen their understanding about learning in general and educational issues in science and mathematics. Two mottos, “I can’t learn from you if you can’t learn from me” and “to teach is to learn twice,” summarize the essence of her message. The spotlight is on the critical interdependence of factors, specifically human ability to construct understanding; necessity of disequilibrium to spark neural rewiring; cognition-emotion (pleasure vs. pain, even science or math phobia) connections; sociocultural context; dilemma created by the absence of a clearly trustworthy “l(fā)earning meter” for a society valuing objective measurement of quality of learning; h
出版日期Book 2013
關(guān)鍵詞mathematics education; teacher education; science education
版次1
doihttps://doi.org/10.1007/978-94-6209-155-9
isbn_ebook978-94-6209-155-9
copyrightSensePublishers 2013
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:09:07 | 只看該作者
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發(fā)表于 2025-3-22 04:14:20 | 只看該作者
Emotional and Intellectual Involvement While Learning Science and Mathematics,ight choose different learning pathways when facing challenges involving these subjects. As you may know, disequilibrium, belly ache/arousal and pleasure are not only strong responses but each is also associated with successful learning. In terms of biological changes, new protein synthesis and the
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發(fā)表于 2025-3-22 08:47:34 | 只看該作者
Leadership as Effective Collaborations in Science and Mathematics, or educator who as an individual engages her students emotionally and intellectually in teaching the subject, involves herself in continuous learning in two main areas: 1) pedagogical content knowledge, PCK (Gess-Newsome & Lederman, 1999; Shulman, 1986), and 2) development of becoming a transformat
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發(fā)表于 2025-3-22 15:00:56 | 只看該作者
Leadership as Effective Collaborations in Science and Mathematics,hematics classrooms. Although individuals of all ages use concepts and principles from science and mathematics in their everyday life, during their schooling years, they do not seem to make the connection between school science and mathematics and everyday life.
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發(fā)表于 2025-3-23 00:44:26 | 只看該作者
Katherine C. Wieseman,Hedy Moscovici increase in terms of time, distance and social and economic costs, whereas the congestion management approach implemented rarely meets the road users’ expectations. To overcome this problem, a novel approach for evaluating urban traffic congestion is proposed. Factors such as the imprecision of tra
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發(fā)表于 2025-3-23 03:16:43 | 只看該作者
Katherine C. Wieseman,Hedy Moscovicigrammetry combined with scanning are the most appropriate techniques to monitor the evolution of microcrack networks in the cornice overhanging the paintings and preserved as a witness to 19th century additions..However, the application of these techniques was challenged due to the given constraints
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發(fā)表于 2025-3-23 08:46:35 | 只看該作者
Katherine C. Wieseman,Hedy Moscoviciverse range of fields such as surveillance, autonomous cars and robotic vision. Many intelligent systems are built by researchers to achieve the accuracy of human perception but could not quite achieve it yet. Convolutional Neural Networks (CNN) and Deep Learning architectures are used to achieve hu
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