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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: 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: 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: Plamen Angelov
Publisher: John Wiley & Sons
ISBN: 1118481917
Category : Science
Languages : en
Pages : 259
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Book Description
Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.
Author: Skylar Tibbits
Publisher: John Wiley & Sons
ISBN: 1119102359
Category : Architecture
Languages : en
Pages : 136
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Book Description
We are now on the brink of a new era in construction – that of autonomous assembly. For some time, the widespread adoption of robotic and digital fabrication technologies has made it possible for architects and academic researchers to design non-standard, highly customised structures. These technologies have largely been limited by scalability, focusing mainly on top-down, bespoke fabrication projects, such as experimental pavilions and structures. Autonomous assembly and bottom-up construction techniques hold the promise of greater scalability, adaptability and potentially evolved design possibilities. By capitalising on the advances made in swarm robotics, the collective construction of the animal/insect kingdom, and advances in physical computational, programmable materials or self-assembly, architects and designers are now able to build from the bottom up. This issue presents future scenarios of autonomous assembly by highlighting the viability of decentralised, collective assembly systems, demonstrating the potential to deliver reconfigurable and adaptive solutions. Contributors include: Marcelo Coelho, Andong Liu, Robin Meier, Kieran Murphy and Heinrich Jaeger, Radhika Nagpal and Kirstin Petersen, and Zorana Zeravcic. Featured architects: Aranda\Lasch, Arup, Philippe Block, Gramazio Kohler Architects, Ibañez Kim, Achim Menges, Caitlin Mueller, Jose Sanchez, Athina Papadopoulou and Jared Laucks, and Skylar Tibbits.
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
