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Titlebook: Second International Handbook of Science Education; Barry J. Fraser,Kenneth Tobin,Campbell J. McRobbie Book 2012 Springer Science+Business

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发表于 2025-3-21 18:14:33 | 显示全部楼层 |阅读模式
书目名称Second International Handbook of Science Education
编辑Barry J. Fraser,Kenneth Tobin,Campbell J. McRobbie
视频video
概述Builds on the reputation of the first edition which is seen as the most comprehensive and authoritative book on science education.An essential reference for all those involved in science education res
丛书名称Springer International Handbooks of Education
图书封面Titlebook: Second International Handbook of Science Education;  Barry J. Fraser,Kenneth Tobin,Campbell J. McRobbie Book 2012 Springer Science+Business
描述.The .International Handbook of Science Education. is a two volume edition pertaining to the most significant issues in science education. It is a follow-up to the first .Handbook., published in 1998, which is seen as the most authoritative resource ever produced in science education. The chapters in this edition are reviews of research in science education and retain the strong international flavor of the project. It covers the diverse theories and methods that have been a foundation for science education and continue to characterize this field..Each section contains a lead chapter that provides an overview and synthesis of the field and related chapters that provide a narrower focus on research and current thinking on the key issues in that field. Leading researchers from around the world have participated as authors and consultants to produce a resource that is comprehensive, detailed and up to date. The chapters provide the most recent and advanced thinking in science education making the .Handbook. again the most authoritative resource in science education..
出版日期Book 2012
关键词learning environments; nature of science; out-of-school learning; science curriculum; science education;
版次1
doihttps://doi.org/10.1007/978-1-4020-9041-7
isbn_softcover978-94-024-0495-1
isbn_ebook978-1-4020-9041-7Series ISSN 2197-1951 Series E-ISSN 2197-196X
issn_series 2197-1951
copyrightSpringer Science+Business Media B.V. 2012
The information of publication is updating

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Kenneth Tobiner many unforeseen situations. Training for those situations in simulations should prepare them for such encounters, but this requires simulated worlds with enough complexity. In this paper, we compare different convolutional neural networks trained to follow the roads in one of the most complex env
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Yew-Jin LeeIn this application, people can communicate with the robot via alternative channels of communication, such as brain-machine interfaces, that are less accurate than the traditional mediums and allow the user to send limited classes of commands to the robot. To overcome these limitations, . approaches
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Christopher EmdinIn this application, people can communicate with the robot via alternative channels of communication, such as brain-machine interfaces, that are less accurate than the traditional mediums and allow the user to send limited classes of commands to the robot. To overcome these limitations, . approaches
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Donna King,Stephen M. Ritchieking. In recent years, DRL has been utilized for autonomous navigation as well—with remarkable results. However, most research works either focus on providing an end-to-end DRL approach or conduct an isolated training and integrate the DRL agent as a separate entity later on. This in turn, comes alo
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Rowhea Elmeskyusehold domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner.. This book is a compilation that aims to serv
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