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The digital age is changing our children’s lives and childhood dramatically. New technologies transform the way people interact with each other, the way stories are shared and distributed, and the way reality is presented and perceived. Parents experience that toddlers can handle tablets and apps with a level of sophistication the children’s grandparents can only envy. The question of how the ecology of the child affects the acquisition of competencies and skills has been approached from different angles in different disciplines. In linguistics, psychology and neuroscience, the central question addressed concerns the specific role of exposure to language. Two influential types of theory have been proposed. On one view the capacity to learn language is hard-wired in the human brain: linguistic input is merely a trigger for language to develop. On an alternative view, language acquisition depends on the linguistic environment of the child, and specifically on language input provided through child-adult communication and interaction. The latter view further specifies that factors in situated interaction are crucial for language learning to take place. In the fields of information technology, artificial intelligence and robotics a current theme is to create robots that develop, as children do, and to establish how embodiment and interaction support language learning in these machines. In the field of human-machine interaction, research is investigating whether using a physical robot, rather than a virtual agent or a computer-based video, has a positive effect on language development. The Research Topic will address the following issues: - What are the methodological challenges faced by research on language acquisition in the digital age? - How should traditional theories and models of language acquisition be revised to account for the multimodal and multichannel nature of language learning in the digital age? - How should existing and future technologies be developed and transformed so as to be most beneficial for child language learning and cognition? - Can new technologies be tailored to support child growth, and most importantly, can they be designed in order to enhance specifically vulnerable children’s language learning environment and opportunities? - What kind of learning mechanisms are involved? - How can artificial intelligence and robotics technologies, as robot tutors, support language development? These questions and issues can only be addressed by means of an interdisciplinary approach that aims at developing new methods of data collection and analysis in cross-sectional and longitudinal perspectives. We welcome contributions addressing these questions from an interdisciplinary perspective both theoretically and empirically.
digital environments --- language development --- robotics --- learning mechanisms --- situated and embodied cognition --- digital environments --- language development --- robotics --- learning mechanisms --- situated and embodied cognition
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In recent decades, a growing number of children have been diagnosed with autism spectrum disorder (ASD), a condition characterized by, among other features, social interaction deficits and language impairment. Yet the precise nature of the disorder's impact on language development is not well understood, in part because of the language variability among children across the autism spectrum. The contributors to this volume - experts in fields ranging from communication disorders to developmental and clinical psychology to linguistics - use innovative techniques to address two broad questions: Is the variability of language development and use in children with ASD a function of the language, such that some linguistic domains are more vulnerable to ASD than others? Or is the variability a function of the individual, such that some characteristics predispose those with ASD to have varying levels of difficulty with language development and use? Contributors investigate these questions across linguistic levels, from lexical semantics and single-clause syntax, to computationally complex phonology and the syntax-pragmatics interface. Authors address both spoken and written domains within the wider context of language acquisition. This timely and broadly accessible volume will be of interest to a broad range of specialists, including linguists, psychologists, sociologists, behavioral neurologists, and cognitive neuroscientists.
Autistic people --- Autism --- Developmentally disabled --- Language. --- Patients --- Autism. --- Cognitive Linguistics. --- Communication Disorders. --- Language Development. --- Psycholinguistics.
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The digital age is changing our children’s lives and childhood dramatically. New technologies transform the way people interact with each other, the way stories are shared and distributed, and the way reality is presented and perceived. Parents experience that toddlers can handle tablets and apps with a level of sophistication the children’s grandparents can only envy. The question of how the ecology of the child affects the acquisition of competencies and skills has been approached from different angles in different disciplines. In linguistics, psychology and neuroscience, the central question addressed concerns the specific role of exposure to language. Two influential types of theory have been proposed. On one view the capacity to learn language is hard-wired in the human brain: linguistic input is merely a trigger for language to develop. On an alternative view, language acquisition depends on the linguistic environment of the child, and specifically on language input provided through child-adult communication and interaction. The latter view further specifies that factors in situated interaction are crucial for language learning to take place. In the fields of information technology, artificial intelligence and robotics a current theme is to create robots that develop, as children do, and to establish how embodiment and interaction support language learning in these machines. In the field of human-machine interaction, research is investigating whether using a physical robot, rather than a virtual agent or a computer-based video, has a positive effect on language development. The Research Topic will address the following issues: - What are the methodological challenges faced by research on language acquisition in the digital age? - How should traditional theories and models of language acquisition be revised to account for the multimodal and multichannel nature of language learning in the digital age? - How should existing and future technologies be developed and transformed so as to be most beneficial for child language learning and cognition? - Can new technologies be tailored to support child growth, and most importantly, can they be designed in order to enhance specifically vulnerable children’s language learning environment and opportunities? - What kind of learning mechanisms are involved? - How can artificial intelligence and robotics technologies, as robot tutors, support language development? These questions and issues can only be addressed by means of an interdisciplinary approach that aims at developing new methods of data collection and analysis in cross-sectional and longitudinal perspectives. We welcome contributions addressing these questions from an interdisciplinary perspective both theoretically and empirically.
digital environments --- language development --- robotics --- learning mechanisms --- situated and embodied cognition
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The digital age is changing our children’s lives and childhood dramatically. New technologies transform the way people interact with each other, the way stories are shared and distributed, and the way reality is presented and perceived. Parents experience that toddlers can handle tablets and apps with a level of sophistication the children’s grandparents can only envy. The question of how the ecology of the child affects the acquisition of competencies and skills has been approached from different angles in different disciplines. In linguistics, psychology and neuroscience, the central question addressed concerns the specific role of exposure to language. Two influential types of theory have been proposed. On one view the capacity to learn language is hard-wired in the human brain: linguistic input is merely a trigger for language to develop. On an alternative view, language acquisition depends on the linguistic environment of the child, and specifically on language input provided through child-adult communication and interaction. The latter view further specifies that factors in situated interaction are crucial for language learning to take place. In the fields of information technology, artificial intelligence and robotics a current theme is to create robots that develop, as children do, and to establish how embodiment and interaction support language learning in these machines. In the field of human-machine interaction, research is investigating whether using a physical robot, rather than a virtual agent or a computer-based video, has a positive effect on language development. The Research Topic will address the following issues: - What are the methodological challenges faced by research on language acquisition in the digital age? - How should traditional theories and models of language acquisition be revised to account for the multimodal and multichannel nature of language learning in the digital age? - How should existing and future technologies be developed and transformed so as to be most beneficial for child language learning and cognition? - Can new technologies be tailored to support child growth, and most importantly, can they be designed in order to enhance specifically vulnerable children’s language learning environment and opportunities? - What kind of learning mechanisms are involved? - How can artificial intelligence and robotics technologies, as robot tutors, support language development? These questions and issues can only be addressed by means of an interdisciplinary approach that aims at developing new methods of data collection and analysis in cross-sectional and longitudinal perspectives. We welcome contributions addressing these questions from an interdisciplinary perspective both theoretically and empirically.
digital environments --- language development --- robotics --- learning mechanisms --- situated and embodied cognition
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Motor skills are a vital part of healthy development and are featured prominently both in physical examinations and in parents’ baby diaries. It has been known for a long time that motor development is critical for children’s understanding of the physical and social world. Learning occurs through dynamic interactions and exchanges with the physical and the social world, and consequently movements of eyes and head, arms and legs, and the entire body are a critical during learning. At birth, we start with relatively poorly developed motor skills but soon gain eye and head control, learn to reach, grasp, sit, and eventually to crawl and walk on our own. The opportunities arising from each of these motor milestones are profound and open new and exciting possibilities for exploration and interactions, and learning. Consequently, several theoretical accounts of child development suggest that growth in cognitive, social, and perceptual domains are influences by infants’ own motor experiences. Recently, empirical studies have started to unravel the direct impact that motor skills may have other domains of development. This volume is part of this renewed interest and includes reviews of previous findings and recent empirical evidence for associations between the motor domain and other domains from leading researchers in the field of child development. We hope that these articles will stimulate further research on this interesting question.
Motor ability in children. --- developmental trajectories --- Motor development --- Developmental cascades --- Social Behavior --- language development --- Autism Spectrum Disorders --- Perception --- Child Development --- Cognition --- developmental trajectories --- Motor development --- Developmental cascades --- Social Behavior --- language development --- Autism Spectrum Disorders --- Perception --- Child Development --- Cognition
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Children --- Russian language --- Slavic languages, Eastern --- Language development in children --- Interpersonal communication in children --- Language and languages --- Language. --- Word order. --- Vocabulary --- Children - Language --- Russian language - Word order
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Language acquisition --- Acquisition of language --- Developmental linguistics --- Developmental psycholinguistics --- Language and languages --- Language development in children --- Psycholinguistics, Developmental --- Interpersonal communication in children --- Psycholinguistics --- Acquisition
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How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.
Language acquisition. --- Cognition. --- Psychology --- Acquisition of language --- Developmental linguistics --- Developmental psycholinguistics --- Language and languages --- Language development in children --- Psycholinguistics, Developmental --- Interpersonal communication in children --- Psycholinguistics --- Acquisition
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Motor skills are a vital part of healthy development and are featured prominently both in physical examinations and in parents’ baby diaries. It has been known for a long time that motor development is critical for children’s understanding of the physical and social world. Learning occurs through dynamic interactions and exchanges with the physical and the social world, and consequently movements of eyes and head, arms and legs, and the entire body are a critical during learning. At birth, we start with relatively poorly developed motor skills but soon gain eye and head control, learn to reach, grasp, sit, and eventually to crawl and walk on our own. The opportunities arising from each of these motor milestones are profound and open new and exciting possibilities for exploration and interactions, and learning. Consequently, several theoretical accounts of child development suggest that growth in cognitive, social, and perceptual domains are influences by infants’ own motor experiences. Recently, empirical studies have started to unravel the direct impact that motor skills may have other domains of development. This volume is part of this renewed interest and includes reviews of previous findings and recent empirical evidence for associations between the motor domain and other domains from leading researchers in the field of child development. We hope that these articles will stimulate further research on this interesting question.
Motor ability in children. --- developmental trajectories --- Motor development --- Developmental cascades --- Social Behavior --- language development --- Autism Spectrum Disorders --- Perception --- Child Development --- Cognition
Choose an application
Motor skills are a vital part of healthy development and are featured prominently both in physical examinations and in parents’ baby diaries. It has been known for a long time that motor development is critical for children’s understanding of the physical and social world. Learning occurs through dynamic interactions and exchanges with the physical and the social world, and consequently movements of eyes and head, arms and legs, and the entire body are a critical during learning. At birth, we start with relatively poorly developed motor skills but soon gain eye and head control, learn to reach, grasp, sit, and eventually to crawl and walk on our own. The opportunities arising from each of these motor milestones are profound and open new and exciting possibilities for exploration and interactions, and learning. Consequently, several theoretical accounts of child development suggest that growth in cognitive, social, and perceptual domains are influences by infants’ own motor experiences. Recently, empirical studies have started to unravel the direct impact that motor skills may have other domains of development. This volume is part of this renewed interest and includes reviews of previous findings and recent empirical evidence for associations between the motor domain and other domains from leading researchers in the field of child development. We hope that these articles will stimulate further research on this interesting question.
Motor ability in children. --- developmental trajectories --- Motor development --- Developmental cascades --- Social Behavior --- language development --- Autism Spectrum Disorders --- Perception --- Child Development --- Cognition
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