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Heterogeneous Contributions to Numerical Cognition


pubblicato da Elsevier Science

Prezzo online:
145,07
161,20
-10 %
161,20

Arithmetic disability stems from deficits in neurodevelopment, with great individual differences in development or function of an individual at neuroanatomical, neuropsychological, behavioral, and interactional levels. Heterogeneous Contributions to Numerical Cognition: Learning and Education in Mathematical Cognition examines research in mathematical education methods and their neurodevelopmental basis, focusing on the underlying neurodevelopmental features that must be taken into account when teaching and learning mathematics. Cognitive domains and functions such as executive functions, memory, attention, and language contribute to numerical cognition and are essential for its proper development. These lines of research and thinking in neuroscience are discussed in this book to further the understanding of the neurodevelopmental and cognitive basis of more complex forms of mathematics and how to best teach them. By unravelling the basic building blocks of numerical thinking and the developmental basis of human capacity for arithmetic, this book and the discussions within are important for the achievement of a comprehensive understanding of numerical cognition, its brain basis, development, breakdown in brain-injured individuals, and failures to master mathematical skills.

  • A novel innovative reference on the emerging field of numerical cognition and neurodevelopment underlying mathematical education
  • Includes an overview of the multiple disciplines that comprise numerical cognition written by world-leading researchers in the numerical cognition and neurodevelopment fields
  • Features an innovative organization with each section providing a general overview, developmental research, neurocognitive mechanisms, and discussion about relevant studies

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Generi Scienza e Tecnica » Medicina » Biologia » Opere divulgative » Neuroscienze » Argomenti d'interesse generale » Opere generali

Editore Elsevier Science

Formato Ebook con Adobe DRM

Pubblicato 28/05/2021

Lingua Inglese

EAN-13 9780128174159

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