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This influential festschrift honours the legacy of Annette Karmiloff-Smith, a seminal thinker in the field of child development and a pioneer in developmental cognitive neuroscience. The current volume brings together many of the researchers, collaborators and students who worked with Professor Karmiloff-Smith to show how her ideas have influenced and continue to influence their own research. Over four parts, each covering a different phase or domain of Karmiloff-Smith's research career, leading developmental psychologists in cognition, neuroscience and computer science reflect on her extensive contribution, from her early work with Piaget in Geneva to her innovative research project investigating children with Down syndrome to understand the mechanisms of Alzheimer's disease. The chapters provide a mix of cutting-edge science and reminiscence, providing a fascinating insight into the historical contexts in which many of Annette's theoretical insights arose, including such ideas as the microgenetic approach, representational redescription and neuroconstructivism. The chapters also provide updates about how earlier theoretical ideas have stood the test of time, and present unpublished data from the early years of Annette's career. Taking Development Seriously is essential reading for students and scholars in child development and developmental neuroscience.
This influential festschrift honours the legacy of Annette Karmiloff-Smith, a seminal thinker in the field of child development and a pioneer in developmental cognitive neuroscience. The current volume brings together many of the researchers, collaborators and students who worked with Professor Karmiloff-Smith to show how her ideas have influenced and continue to influence their own research. Over four parts, each covering a different phase or domain of Karmiloff-Smith's research career, leading developmental psychologists in cognition, neuroscience and computer science reflect on her extensive contribution, from her early work with Piaget in Geneva to her innovative research project investigating children with Down syndrome to understand the mechanisms of Alzheimer's disease. The chapters provide a mix of cutting-edge science and reminiscence, providing a fascinating insight into the historical contexts in which many of Annette's theoretical insights arose, including such ideas as the microgenetic approach, representational redescription and neuroconstructivism. The chapters also provide updates about how earlier theoretical ideas have stood the test of time, and present unpublished data from the early years of Annette's career. Taking Development Seriously is essential reading for students and scholars in child development and developmental neuroscience.
The field of educational neuroscience uses new insights about the neural mechanisms of learning to improve educational practices and outcomes. The first volume to bring together the latest knowledge on the development of educational neuroscience from a life-span perspective, this important text offers state of the art, authoritative research findings in educational neuroscience before providing evidence-based recommendations for classroom practice. Thomas, Mareschal, Dumontheil, and the team of expert international contributors assembled in this volume thoroughly explore four main themes throughout the book. The first theme is individual differences, or what makes children perform better or worse in the classroom. The second theme is the nature of individual differences at different stages in development, from early years into adulthood. The third theme addresses cognitive enhancement, summarizing research that has investigated activities that might give general benefits to cognition. And the fourth theme considers the translation of research findings into classroom practices, discussing broader ethical issues raised by educational neuroscience, and what teachers need to know about neuroscience to enhance their day-to-day practice. Specific topics explored include neuropsychological perspectives on socioeconomic disparities in educational achievement, reading difficulties, phonological skills, executive function, and emotional development. Educational Neuroscience is essential reading for researchers and graduate students of educational psychology, developmental science, developmental psychology, and cognitive psychology, especially those specializing in emotion regulation.
The field of educational neuroscience uses new insights about the neural mechanisms of learning to improve educational practices and outcomes. The first volume to bring together the latest knowledge on the development of educational neuroscience from a life-span perspective, this important text offers state of the art, authoritative research findings in educational neuroscience before providing evidence-based recommendations for classroom practice. Thomas, Mareschal, Dumontheil, and the team of expert international contributors assembled in this volume thoroughly explore four main themes throughout the book. The first theme is individual differences, or what makes children perform better or worse in the classroom. The second theme is the nature of individual differences at different stages in development, from early years into adulthood. The third theme addresses cognitive enhancement, summarizing research that has investigated activities that might give general benefits to cognition. And the fourth theme considers the translation of research findings into classroom practices, discussing broader ethical issues raised by educational neuroscience, and what teachers need to know about neuroscience to enhance their day-to-day practice. Specific topics explored include neuropsychological perspectives on socioeconomic disparities in educational achievement, reading difficulties, phonological skills, executive function, and emotional development. Educational Neuroscience is essential reading for researchers and graduate students of educational psychology, developmental science, developmental psychology, and cognitive psychology, especially those specializing in emotion regulation.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development. Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework for considering development. In the first volume, the authors review up-to-to date findings from neurobiology, brain imaging, child development, computer and robotic modelling to consider why children's thinking develops the way it does. They propose a new synthesis of development that is based on 5 key principles found to operate at many levels of descriptions. They use these principles to explain what causes a number of key developmental phenomena, including infants' interacting with objects, early social cognitive interactions, and the causes of dyslexia. The "neuroconstructivist" framework also shows how developmental disorders do not arise from selective damage to normal cognitive systems, but instead arise from developmental processes that operate under atypical constraints. How these principles work is illustrated in several case studies ranging from perceptual to social and reading development. Finally, the authors use neuroimaging, behavioural analyses, computational simulations and robotic models to provide a way of understanding the mechanisms and processes that cause development to occur. Computer and robotic models provide concrete tools for investigating the processes and mechanisms involved in learning and development. Volume 2 illustrates the principles of 'Neuroconstructivist' development, with contributions from 9 different labs across the world. Each of the contributions illustrates how models play a central role in understanding development. The models presented include standard connectionist neural network models as well as multi-agent models. Also included are robotic models emphasizing the need to take embodiment and brain-system interactions seriously. A model of Autism and one of Specific Language Impairment also illustrate how atypical development can be understood in terms of the typical processes of development but operating under restricted conditions. This volume complements Volume 1 by providing concrete examples of how the 'Neuroconstructivist' principles can be grounded within a diverse range of domains, thereby shaping the research agenda in those domains.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development. Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework for considering development. In the first volume, the authors review up-to-to date findings from neurobiology, brain imaging, child development, computer and robotic modelling to consider why children's thinking develops the way it does. They propose a new synthesis of development that is based on 5 key principles found to operate at many levels of descriptions. They use these principles to explain what causes a number of key developmental phenomena, including infants' interacting with objects, early social cognitive interactions, and the causes of dyslexia. The "neuroconstructivist" framework also shows how developmental disorders do not arise from selective damage to the normal cognitive system, but instead arise from atypical constraints. How these principles work is illustrated in several case studies ranging from perceptual to social and reading development. Finally, the authors use neuroimaging, behavioural analyses, computational simulations and robotic models to provide a way of understanding the mechanisms and processes that cause development to occur.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development. Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework for considering development. In the first volume, the authors review up-to-to date findings from neurobiology, brain imaging, child development, computer and robotic modelling to consider why children's thinking develops the way it does. They propose a new synthesis of development that is based on 5 key principles found to operate at many levels of descriptions. They use these principles to explain what causes a number of key developmental phenomena, including infants' interacting with objects, early social cognitive interactions, and the causes of dyslexia. The "neuroconstructivist" framework also shows how developmental disorders do not arise from selective damage to the normal cognitive system, but instead arise from developmental processes that operate under atypical constraints. How these principles work is illustrated in several case studies ranging from perceptual to social and reading development. Finally, the authors use neuroimaging, behavioural analyses, computational simulations and robotic models to provide a way of understanding the mechanisms and processes that cause development to occur.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? They are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational modeling, and neuroimagingan approach until now seldom taken when considering child development. Neuroconstructivism is a major two-volume work that seeks to redress this balance, presenting an integrative new framework for considering development. In Volume One, the authors review up-to-date findings from neurobiology, brain imaging, child development, as well computer and robotic modeling to consider why children's thinking develops the way it does, and propose a new synthesis of development that is based on five key principles found to operate at many different levels of description. Their Neuroconstructivist framework also shows how developmental disorders, such as dyslexia, can arise from typical developmental processes operating under atypical constraints. Of central importance to Neuroconstructivism is the idea that computer and robotic models are vital tools for investigating the processes and mechanisms involved in learning and development. Volume Two illustrates the principles of Neuroconstructivist development through contributions from nine different labs across the world. This volume complements Volume One by providing concrete examples of how the Neuroconstructivist principles can be grounded in a diverse range of domains, and thereby shape the research agenda in each.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? They are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational modeling, and neuroimagingan approach until now seldom taken when considering child development. Neuroconstructivism is a major two-volume work that seeks to redress this balance, presenting an integrative new framework for considering development. In Volume One, the authors review up-to-date findings from neurobiology, brain imaging, child development, as well computer and robotic modeling to consider why children's thinking develops the way it does, and propose a new synthesis of development that is based on five key principles found to operate at many different levels of description. Their Neuroconstructivist framework also shows how developmental disorders, such as dyslexia, can arise from typical developmental processes operating under atypical constraints. Of central importance to Neuroconstructivism is the idea that computer and robotic models are vital tools for investigating the processes and mechanisms involved in learning and development. Volume Two illustrates the principles of Neuroconstructivist development through contributions from nine different labs across the world. This volume complements Volume One by providing concrete examples of how the Neuroconstructivist principles can be grounded in a diverse range of domains, and thereby shape the research agenda in each.
Human adults appear different from other animals in their ability
to form abstract mental representations that go beyond perceptual
similarity. In short, they can conceptualize the world. This
apparent uniqueness leads to an immediate puzzle: WHEN and HOW does
this abstract system come into being? To answer this question we
need to explore the origins of adult concepts, both developmentally
and phylogenetically; When does the developing child acquire the
ability to use abstract concepts?; does the transition occur around
2 years, with the onset of symbolic representation and language?
Or, is it independent of the emergence of language?; when in
evolutionary history did an abstract representational system
emerge?; is there something unique about the human brain? How would
a computational system operating on the basis of perceptual
associations develop into a system operating on the basis of
abstract relations?; is this ability present in other species, but
masked by their inability to verbalise abstractions? Perhaps the
very notion of concepts is empty and should be done away with
altogether.
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