Accompanying DVD-ROM contains ... "snippets of an interview with MM Lee and a demo version of the software he has been using to learn Mandarin; samples of resource materials he has been using to pick up the language; resource guide for Mandarin learners (e.g., Chinese software, useful websites and dictionaries." -- p. [4] of cover.
Over the past two decades, western scholars increasingly have embraced cultural-historical activity theory as a framework for thinking about knowing and learning in school and workplace settings. Yet in the adoption of this framework, many of its fundamental underpinnings in materialist dialectic have dis-appeared. Cultural-historical activity theory has been fitted to a fundamentally dualistic way of thinking the subject and object of activity, individual and collective, subjectivity and intersubjectivity, abstract and concrete, etc. This book redresses the inappropriate translation by radically sticking to a materialist-dialectical theorizing of knowing, learning, participation, and identity. The authors draw on several detailed ethnographic studies at the kindergarten, elementary school, and middle school levels and in a workplace as case materials to articulate various aspects of the specifically human activity observed in each setting. Wolff-Michael Roth is Lansdowne Professor of applied cognitive science at the University of Victoria (UVic) and director of the CHAT@UVic laboratory concerned with the investigation of knowing and learning in science and mathematics across the lifespan. SungWon Hwang is postdoctoral fellow at UVic studying embodied cognition. Yew Jin Lee is a Ph.D. candidate at UVic focusing on workplace learning. Maria Inês Mafra Goulart is a Ph.D. candidate investigating science learning in kindergarten schools.
This book describes a comparative study of the primary science learning objectives (from the cognitive domain) in the curriculum of six high-achieving East Asian states — mainland China, Hong Kong, Taiwan, Korea, Japan and Singapore. Specifically, the authors use one of the most widely accepted and useful tools in curriculum research — revised Bloom’s Taxonomy. This is the first time that such findings from all six states have been published in one place and the results are valuable for policymakers, educators and researchers around the globe. Our new English translations of the primary science learning objectives in China, Taiwan and Korea will also greatly facilitate future analyses of these curricula.
This book is a compilation of papers from the inaugural International Science Education Conference held at the National Institute of Education (Singapore) . The title, Science Education at the Nexus of Theory and Practice, reflects a pressing yet ongoing concern worldwide to integrate theory and practice in science education and the reader will find something of interest to both science education practitioners and researchers. The editors have decided to engage in (written) dialogue before each of the three sections to enrich the experience. Divided into three key sections: (A) Concepts, conceptual change, and science learning; (B) science teacher development and learning; and (C) access to science, accessible science, the 19 chapters will engender food for thought, and in all likelihood, transform classroom practices. All the contributors here provide important insights into the diverse education systems, cultural backgrounds, and societal norms through which science education can be realized.
This book describes a comparative study of the primary science learning objectives (from the cognitive domain) in the curriculum of six high-achieving East Asian states — mainland China, Hong Kong, Taiwan, Korea, Japan and Singapore. Specifically, the authors use one of the most widely accepted and useful tools in curriculum research — revised Bloom’s Taxonomy. This is the first time that such findings from all six states have been published in one place and the results are valuable for policymakers, educators and researchers around the globe. Our new English translations of the primary science learning objectives in China, Taiwan and Korea will also greatly facilitate future analyses of these curricula.
Converting sludge into construction materials is deemed to be a sustainable approach to alleviating sludge disposal problems and conserving natural resources.This compendium presents the state-of-the-art development in recycling sludge into construction materials. A research-based development of engineering products made from sludge for common construction applications such as bricks, aggregates and cement-replacement materials is outlined. In-depth discussions on the properties of the products and their processing technology, the technical suitability for construction applications, and experimental study and assessment of toxic or hazardous chemicals leached from the products are prominently highlighted. Challenges and prospect of sludge recycling are also included.Contributed by eminent authors who are recognized authority in the field of sludge treatment and reuse, the unique monograph is a useful reference guide for professionals, researchers, academics and graduate students majoring in waste management, environmental engineering, civil engineering and materials engineering.
This book encompasses two inter-related disciplines of health law and medical ethics applicable to Singapore. Apart from Singapore legal materials, it draws upon relevant case precedents and statutory developments from other common law countries and incorporates recommendations and reports by health-related bodies, agencies and committees. The book is written in an accessible manner suitable for tertiary students. It should also serve as a useful resource for medico-legal practitioners, academics and healthcare professionals who wish to keep abreast of the evolving legal and ethical developments concerning health and medicine.
Accompanying DVD-ROM contains ... "snippets of an interview with MM Lee and a demo version of the software he has been using to learn Mandarin; samples of resource materials he has been using to pick up the language; resource guide for Mandarin learners (e.g., Chinese software, useful websites and dictionaries." -- p. [4] of cover.
This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms. With this in mind, the book serves to offer a data-driven view of optimization, through the framework of memetic computation (MC). The authors provide a summary of the complete timeline of research activities in MC – beginning with the initiation of memes as local search heuristics hybridized with evolutionary algorithms, to their modern interpretation as computationally encoded building blocks of problem-solving knowledge that can be learned from one task and adaptively transmitted to another. In the light of recent research advances, the authors emphasize the further development of MC as a simultaneous problem learning and optimization paradigm with the potential to showcase human-like problem-solving prowess; that is, by equipping optimization engines to acquire increasing levels of intelligence over time through embedded memes learned independently or via interactions. In other words, the adaptive utilization of available knowledge memes makes it possible for optimization engines to tailor custom search behaviors on the fly – thereby paving the way to general-purpose problem-solving ability (or artificial general intelligence). In this regard, the book explores some of the latest concepts from the optimization literature, including, the sequential transfer of knowledge across problems, multitasking, and large-scale (high dimensional) search, systematically discussing associated algorithmic developments that align with the general theme of memetics. The presented ideas are intended to be accessible to a wide audience of scientific researchers, engineers, students, and optimization practitioners who are familiar with the commonly used terminologies of evolutionary computation. A full appreciation of the mathematical formalizations and algorithmic contributions requires an elementary background in probability, statistics, and the concepts of machine learning. A prior knowledge of surrogate-assisted/Bayesian optimization techniques is useful, but not essential.
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