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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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发表于 2025-3-21 17:09:28 | 显示全部楼层 |阅读模式
书目名称Learn Science, Learn Math, Learn to Teach Science and Math, Homo Sapiens
编辑Hedy Moscovici,Tal Moscovici,Penny J. Gilmer
视频video
概述Written by experts, Gives a modern approach, Comprehensive in Scope
丛书名称Cultural Perspectives in Science Education
图书封面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 “learning meter” for a society valuing objective measurement of quality of learning; h
出版日期Book 2013
关键词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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发表于 2025-3-21 21:09:07 | 显示全部楼层
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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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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
发表于 2025-3-22 15:00:56 | 显示全部楼层
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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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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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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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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