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Curriculum, Instruction and Assessment in Japan
This book provides a comprehensive overview of the history and current status of policy, research and practices of curriculum, classroom instruction and assessment in Japan. It outlines the mechanism of curriculum organization and the history of the National Courses of Study, and assesses the theories of academic ability model. It also discusses in detail the history of "Lesson Study" – a characteristic teaching practice in Japan which utilizes groups, and reviews the history of educational assessment in Japan. Case studies on the practice of portfolio assessment in the Period for Integrated Study, as well as the practice of performance tasks in subject-based education are illustrated to s...
Language, Culture, and Identity Among Minority Students in China
This book explores Hui (one of the Muslim minority groups in China) students’ lived experiences in an elementary school in central P. R. China from the perspectives of philosophical foundations of education and the sociology of education, the impact of their experiences on their identity construction, and what schooling means to Hui students. The book describes a vivid picture of how the Hui construct their own identities in the public school setting, and how the state curricula, teachers, and parents play roles in student identity construction. The objectives of the book are to discover factors that impact Hui students’ identity construction and have caused Hui students to know little a...
Developing Distributed Curriculum Leadership in Hong Kong Schools
The book aims to explore distributed leadership in developing curriculum innovations in schools with a target of bringing about theoretical underpinnings in the West with the empirical studies and practices in the East. It examines theoretically the roots of the curriculum leadership studies and practically with the empirical data and case studies in Hong Kong which has been considered a melting pot of the Western concepts and innovations in a land of Eastern cultures. The examination is framed within theoretical frameworks of activity theories, discourse analysis and social network systems. The findings will show the impact of the cultural traditions of Eastern countries in the mediation of...
Database Systems for Advanced Applications
This two volume set LNCS 7238 and LNCS 7239 constitutes the refereed proceedings of the 17th International Conference on Database Systems for Advanced Applications, DASFAA 2012, held in Busan, South Korea, in April 2012. The 44 revised full papers and 8 short papers presented together with 2 invited keynote papers, 8 industrial papers, 8 demo presentations, 4 tutorials and 1 panel paper were carefully reviewed and selected from a total of 159 submissions. The topics covered are query processing and optimization, data semantics, XML and semi-structured data, data mining and knowledge discovery, privacy and anonymity, data management in the Web, graphs and data mining applications, temporal and spatial data, top-k and skyline query processing, information retrieval and recommendation, indexing and search systems, cloud computing and scalability, memory-based query processing, semantic and decision support systems, social data, data mining.
The Proceedings of the 18th Annual Conference of China Electrotechnical Society
Zusammenfassung: This book gathers outstanding papers presented at the 18th Annual Conference of China Electrotechnical Society, organized by China Electrotechnical Society (CES), held in Nanchang, China, from September 15 to 17, 2023. It covers topics such as electrical technology, power systems, electromagnetic emission technology, and electrical equipment. It introduces the innovative solutions that combine ideas from multiple disciplines. The book is very much helpful and useful for the researchers, engineers, practitioners, research students, and interested readers
Regulation of Tissue pH in Plants and Animals
A broad-ranging, authoritative and accessible review of exciting discoveries in acid-base regulation in animals and plants, together with a critical look at techniques and tools.
Multifunctional Inorganic Nanomaterials for Energy Applications
Multifunctional Inorganic Nanomaterials for Energy Applications provides deep insight into the role of multifunctional nanomaterials in the field of energy and power generation applications. It mainly focuses on the synthesis, fabrication, design, development, and optimization of novel functional inorganic nanomaterials for energy storage and saving devices. It also covers studies of inorganic electrode materials for supercapacitors, membranes for batteries and fuel cells, and materials for display systems and energy generation. Features: Explores computational and experimental methods of preparing inorganic nanomaterials and their multifunctional applications Includes synthesis and performance analysis of various functional nanomaterials for energy storage and saving applications Reviews current research directions and latest developments in the field of energy materials Discusses importance of computational techniques in designing novel nanomaterials Highlights importance of multifunctional applications of nanomaterials in the energy sector This book is aimed at graduate students and researchers in materials science, electrical engineering, and nanomaterials.
Mathematical Theories of Machine Learning - Theory and Applications
This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.
