The Cambridge Handbook of Cognitive Development

ISBN-13: 9781108436632 / Angielski / Miękka / 2022 / 800 str.

Opis

This handbook presents a cutting-edge overview of cognitive development, spanning methodology, key domain-based findings and applications.

Recenzje

'This comprehensive and impressive volume situates the current thinking in cognitive development in historical and philosophical context. Characterizing the last 40 years of cognitive developmental research as fundamentally interdisciplinary, the editors bring together research in neurobiology, experimental psychology, computational modelling, comparative psychology, and educational application. The expert contributors present accessible chapters integrating theory and empirical evidence throughout. This extensive overview of current work will be of value to those working in the field, especially those starting out, as well as researchers in other disciplines who want to understand contemporary thought in cognitive development.' Sarah Beck, Professor of Cognitive Development, University of Birmingham, UK

Spis treści

Part I. Neurobiological Constraints and Laws of Cognitive Development: 1. How life regulation and feelings motivate the cultural mind: a neurobiological account; 2. Epigenesis, synapse selection, cultural imprints and human brain development: from molecules to cognition; 3. Mapping the human brain from the preterm period to infancy using 3D magnetic resonance imaging: cortical folding and early maturation processes; 4. Development and maturation of the human brain from infancy to adolescence; 5. Genetic and experiential factors in brain development: the examples of executive attention and self-regulation; 6. The brain basis underlying the transition from adolescent to adulthood; Part II. Fundamentals of Cognitive Development from Infancy to Adolescence and Young Adulthood: 7. Differences between humans, great apes and monkeys in cognition, communication, language and morality; 8. Individuating and physical reasoning about objects in infancy; 9. Infant categorization; 10. Infant numerical cognition: does primitive number sense provide a foothold for learning formal mathematics?; 11. How sophisticated is infants' theory of mind?; 12. Social cognition and moral evaluation in early human childhood; 13. Scientific thinking and reasoning in infants and young children; 14. Computational approaches to cognitive development in infancy: Bayesian and artificial-neural-network models; 15. Development of qualitative thinking: language and categorization; 16. Development of numerical knowledge; 17. Numerical cognition and executive functions: development as progressive inhibitory control of misleading visuospatial dimensions; 18. Developing theory of mind and counterfactual reasoning in children; 19. Development of executive function skills in childhood: relevance for important life-outcomes; 20. Developing executive functions and flexible adaptation during childhood; 21. Reasoning bias and dual process theory: developmental considerations and current directions; 22. Social cognitive development: the intergroup context; 23. Behavioral and neural development of cognitive control and risky decision-making across adolescence; 24. The Triadic neural systems model through a machine-learning; Part III. Education and School-learning Domains: 25. Linking cognitive neuroscientific research to educational practice in the classroom; 26. Literacy: understanding normal and impaired reading development through personalized large-scale neurocomputational models; 27. Reasoning in mathematical development: neurocognitive foundations and their implications for the classroom; 28. Children's scientific reasoning skills in light of general cognitive development; 29. Working memory training: from the laboratory to schools; 30. Interventions for improving executive functions during development: working memory, cognitive flexibility and inhibition; 31. Curiosity-driven learning in development: computational theories and educational applications; 32. Neurocomputational methods: from models of brain and cognition to artificial intelligence in education.