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Author: Judith Hangartner
Publisher: Routledge
ISBN: 9781032460086
Category :
Languages : en
Pages : 0
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Book Description
This book provides a thorough and detailed analysis of how the figure of the 'autonomous learner' shapes educational practices. It unpacks the impact of current educational reform discourse that focuses on the individual pupil as a learner, while neglecting the social dimensions of classroom practices. In view of the yet unknown requirements of the knowledge economy, students are demanded to take more responsibility for their learning and to become self-reliant, independent, lifelong learners. In turn, teachers are asked to tailor education to the individual needs of their students and to foster their individual learning trajectories. Based on in-depth fieldwork and long-term observation of interactions in classrooms and other scholastic settings, scholars from three European countries - France, Germany and Switzerland - show how the translation of the figure of the 'autonomous learner' into classrooms is shaped by distinct cultural traditions. Chapters analyse teaching routines and conceptions of self-reliance involved in autonomy-oriented settings and discuss how these change the sociality of the classroom. They scrutinize how autonomy is used to differentiate between students and how it contributes to the reproduction of social inequality. The book brings into dialogue two neighbouring research traditions that research autonomous learning from a sociological perspective and which have largely ignored each other until now. In so doing, the contributions engage a critical perspective for a careful empirical analysis in order to better understand what is being done in the name of autonomy. Providing insight into the many facets of developing and nurturing self-standing pupils across various educational contexts, this is ideal reading for scholars in the field of education, as well as teachers and decision-makers across the educational sector.
Author: Judith Hangartner
Publisher: Routledge
ISBN: 9781032460086
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
This book provides a thorough and detailed analysis of how the figure of the 'autonomous learner' shapes educational practices. It unpacks the impact of current educational reform discourse that focuses on the individual pupil as a learner, while neglecting the social dimensions of classroom practices. In view of the yet unknown requirements of the knowledge economy, students are demanded to take more responsibility for their learning and to become self-reliant, independent, lifelong learners. In turn, teachers are asked to tailor education to the individual needs of their students and to foster their individual learning trajectories. Based on in-depth fieldwork and long-term observation of interactions in classrooms and other scholastic settings, scholars from three European countries - France, Germany and Switzerland - show how the translation of the figure of the 'autonomous learner' into classrooms is shaped by distinct cultural traditions. Chapters analyse teaching routines and conceptions of self-reliance involved in autonomy-oriented settings and discuss how these change the sociality of the classroom. They scrutinize how autonomy is used to differentiate between students and how it contributes to the reproduction of social inequality. The book brings into dialogue two neighbouring research traditions that research autonomous learning from a sociological perspective and which have largely ignored each other until now. In so doing, the contributions engage a critical perspective for a careful empirical analysis in order to better understand what is being done in the name of autonomy. Providing insight into the many facets of developing and nurturing self-standing pupils across various educational contexts, this is ideal reading for scholars in the field of education, as well as teachers and decision-makers across the educational sector.
Author: Jill E. Ellingson
Publisher: Taylor & Francis
ISBN: 1317378261
Category : Psychology
Languages : en
Pages : 359
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Book Description
Traditionally, organizations and researchers have focused on learning that occurs through formal training and development programs. However, the realities of today’s workplace suggest that it is difficult, if not impossible, for organizations to rely mainly on formal programs for developing human capital. This volume offers a broad-based treatment of autonomous learning to advance our understanding of learner-driven approaches and how organizations can support them. Contributors in industrial/organizational psychology, management, education, and entrepreneurship bring theoretical perspectives to help us understand autonomous learning and its consequences for individuals and organizations. Chapters consider informal learning, self-directed learning, learning from job challenges, mentoring, Massive Open Online Courses (MOOCs), organizational communities of practice, self-regulation, the role of feedback and errors, and how to capture value from autonomous learning. This book will appeal to scholars, researchers, and practitioners in psychology, management, training and development, and educational psychology.
Author: Helen Zhang
Publisher: Trans Tech Publications Ltd
ISBN: 3038135313
Category : Technology & Engineering
Languages : en
Pages : 1048
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Book Description
Selected, peer reviewed papers from the 2011 International Conference on Mechanical Engineering, Industry and Manufacturing Engineering (MEIME 2011), July 23-24, 2011, Beijing, China
Author: Lihui Wang
Publisher: Springer Science & Business Media
ISBN: 0857296523
Category : Technology & Engineering
Languages : en
Pages : 502
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Book Description
With the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.
Author: Oluwatobi Adeleke
Publisher: CRC Press
ISBN: 1003803113
Category : Technology & Engineering
Languages : en
Pages : 377
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Book Description
While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This book provides in-depth information regarding the application of ML-based modeling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modeling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modeling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, this book fills significant knowledge gaps in the existing resources as it provides extensive information on ML and its applications in film thin technology. Offers an in-depth overview of the fundamentals of thin film technology, state-of-the-art computational simulation approaches in ALD, ML techniques, algorithms, applications, and challenges. Establishes the need for and significance of ML applications in ALD while introducing integration approaches for ML techniques with computation simulation approaches. Explores the application of key techniques in ML, such as predictive analysis, classification techniques, feature engineering, image processing capability, and microstructural analysis of deep learning algorithms and generative model benefits in ALD. Helps readers gain a holistic understanding of the exciting applications of ML-based solutions to ALD problems and apply them to real-world issues. Aimed at materials scientists and engineers, this book fills significant knowledge gaps in existing resources as it provides extensive information on ML and its applications in film thin technology. It also opens space for future intensive research and intriguing opportunities for ML-enhanced ALD processes, which scale from academic to industrial applications.
Author: C. Carl Pegels
Publisher: IAP
ISBN: 1607525070
Category : Medical
Languages : en
Pages : 254
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Book Description
The purpose of this book is to convince administrators and providers of health care that scientific research has produced numerous tools, techniques, and approaches for managing health services that are most effective and most efficient. Convincing the managers and administrators of this fact is accomplished by presenting numerous easy-to-understand summaries of the research reported in the scientific research journals available at University and main city libraries.
Author: M. Shafik
Publisher: IOS Press
ISBN: 1643683314
Category : Technology & Engineering
Languages : en
Pages : 416
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Book Description
Within the context of Industrial 4.0 and beyond, developing and managing the technologies and operations key to sustaining the success of manufacturing businesses is crucial, and the promotion of manufacturing-engineering education, training, and research is of vital importance. This book presents the proceedings of ICMR 2022, the 19th International Conference in Manufacturing Research, Incorporating the 36th National Conference in Manufacturing Research, held in Derby, UK, from 6 - 8 September 2022. For over two decades, ICMR has been the main manufacturing research conference held in the UK. Bringing together researchers, academics, and industrialists to share their knowledge and experience, the conference provides a friendly and inclusive platform for a broad community of researchers who share the common goal of making digital and advanced manufacturing as efficient and effective as possible. The theme of ICMR2022 is smart manufacturing. Of the 78 papers submitted, 58 were accepted for presentation after review and are included here. This represents an acceptance rate of 72%. The book is divided into 8 sections: smart manufacturing; digital manufacturing; additive manufacturing; robotics and industrial automation; composite manufacturing and machining processes; product design, development and quality management; information and knowledge management; and decision support and production optimization. Exploring all core areas of digital and advanced manufacturing engineering, the book will be of interest to all those working in the field.
Author: Walter Van de Velde
Publisher: MIT Press
ISBN: 9780262720175
Category : Computers
Languages : en
Pages : 182
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Book Description
The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth discussions of issues, techniques, and experiments in machine learning focus on improving ease of programming and enhancing robustness in unpredictable and changing environments, given limitations of time and resources available to researchers. The authors show practical progress toward a useful set of abstractions and techniques to describe and automate various aspects of learning in autonomous systems. The close interaction of such a system with the world reveals opportunities for new architectures and learning scenarios and for grounding symbolic representations, though such thorny problems as noise, choice of language, abstraction level of representation, and operationality have to be faced head-on. Contents Introduction: Toward Learning Robots * Learning Reliable Manipulation Strategies without Initial Physical Models * Learning by an Autonomous Agent in the Pushing Domain * A Cost-Sensitive Machine Learning Method for the Approach and Recognize Task * A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations * Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning * Learning How to Plan * Robo-Soar: An Integration of External Interaction, Planning, and Learning Using Soar * Foundations of Learning in Autonomous Agents * Prior Knowledge and Autonomous Learning
Author: Raman Kumar
Publisher: CRC Press
ISBN: 1000986241
Category : Technology & Engineering
Languages : en
Pages : 261
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Book Description
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
Author: Zude Zhou
Publisher: Springer Science & Business Media
ISBN: 0857295640
Category : Technology & Engineering
Languages : en
Pages : 373
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Book Description
The manufacturing industry will reap significant benefits from encouraging the development of digital manufacturing science and technology. Digital Manufacturing Science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital Manufacturing Science to solve practical engineering problems in modern manufacturing processes. Digital Manufacturing Science is aimed at advanced undergraduate and postgraduate students, academic researchers and researchers in the manufacturing industry. It allows readers to integrate the theories and technologies described with their own research works, and to propose new ideas and new methods to improve the theory and application of digital manufacturing science.
