"This comprehensive handbook reviews the major theoretical, methodological, and instructional advances that have occurred in the field of learning disabilities. With contributions from leading researchers, the volume synthesizes a vast body of knowledge on the nature of learning disabilities, their relationship to basic psychological and brain processes, and how students with these difficulties can best be identified and treated. Findings are reviewed on ways to support student performance in specific skill areas/m-/including language arts, math, science, and social studies/m-/as well as general principles of effective instruction that cut across academic domains. Authoritative and up to date, the book also examines the concepts and methods that guide learning disability research and identifies promising directions for future investigation"--

How do we understand numbers? Do animals and babies have numerical abilities? Why do some people fail to grasp numbers, and how we can improve numerical understanding? Numbers are vital to so many areas of life: in science, economics, sports, education, and many aspects of everyday life from infancy onwards. Numerical cognition is a vibrant area that brings together scientists from different and diverse research areas (e.g., neuropsychology, cognitive psychology, developmental psychology, comparative psychology, anthropology, education, and neuroscience) using different methodological approaches (e.g., behavioral studies of healthy children and adults and of patients; electrophysiology and brain imaging studies in humans; single-cell neurophysiology in non-human primates, habituation studies in human infants and animals, and computer modeling). While the study of numerical cognition had been relatively neglected for a long time, during the last decade there has been an explosion of studies and new findings. This has resulted in an enormous advance in our understanding of the neural and cognitive mechanisms of numerical cognition. In addition, there has recently been increasing interest and concern about pupils' mathematical achievement in many countries, resulting in attempts to use research to guide mathematics instruction in schools, and to develop interventions for children with mathematical difficulties. This handbook brings together the different research areas that make up the field of numerical cognition in one comprehensive and authoritative volume. The chapters provide a broad and extensive review that is written in an accessible form for scholars and students, as well as educationalists, clinicians, and policy makers. The book covers the most important aspects of research on numerical cognition from the areas of development psychology, cognitive psychology, neuropsychology and rehabilitation, learning disabilities, human and animal cognition and neuroscience, computational modeling, education and individual differences, and philosophy. Containing more than 60 chapters by leading specialists in their fields, the Oxford Handbook of Numerical Cognition is a state-of-the-art review of the current literature.

How does the brain represent number and make mathematical calculations? What underlies the development of numerical and mathematical abilities? What factors affect the learning of numerical concepts and skills? What are the biological bases of number knowledge? Do humans and other animals share similar numerical representations and processes? What underlies numerical and mathematical disabilities and disorders, and what is the prognosis for rehabilitation? These questions are the domain of mathematical cognition, the field of research concerned with the cognitive and neurological processes that underlie numerical and mathematical abilities. The Handbook of Mathematical Cognition is a collection of 27 essays by leading researchers that provides a comprehensive review of this important research field.

Covers a broad range of topics within the fields of education and human development. Includes the ways in which learners construct knowledge at the different stages of human development, the educational tools used by teachers to teach, and educational politics.

Lifespan developmental neuropsychology is the study of the systematic behavioral, cognitive, and psychosocial changes and growth that occur across infancy, adolescence, adulthood and later life. This book provides insight into how brain-behavior relationships change over time, how disorders differ in presentation across the lifespan, and what longer-term outcomes look like. Providing practical guidance in a succinct and accessible format, this book covers the most common neurodevelopmental, behavioral and cognitive disorders, including but not limited to ADHD, cerebral palsy, traumatic brain injury, and epilepsy. Key points concerning the practice of developmental neuropsychology are emphasized in order to aid understanding of neuropsychological development and its impact on behavior, emotion, cognition, and social integration. This will be essential reading for advanced graduate students and early career professionals in the fields of neuropsychology, pediatric psychology, clinical psychology, school psychology, and rehabilitation psychology, as well as practitioners in the allied fields that interact with neuropsychology.

Converging evidence demonstrates a strong link between reading and mathematics: multiple cognitive processes are shared between reading and mathematics, including the representation and retrieval of symbolic information, attention, working memory, and cognitive control. Additionally, multiple brain networks are involved in both math and reading, and last, common genetic factors might influence both reading and math. Hence, it comes as no surprise that there are meaningful associations between (aspects of) math and reading abilities. Moreover, comorbidity rates between math learning disabilities (MD) and reading disabilities (RD) are high (up to 66%) and prevalence rate of the comorbid condition is reported to be more common than the prevalence rate of isolated math learning disabilities. Accordingly, the goal of the research topic is to explore the underline mechanisms of this overlap between reading and math. The research topic aims to include the following topics: • Genetics - it has been found that both RD and MD are based on genetic factors and run in families. Moreover, math problem solving shares significant genetic overlap with general cognitive ability and reading decoding, whereas math fluency shares significant genetic overlap with reading fluency and general cognitive ability. Hence, this topic will explore the shared and unique genetic risk factors to RD and MD, In addition to shared and unique genetic influence on reading and math. • Neural perspective - converging evidence from both structural and multiple functional imaging studies, involving a wide range of numerical tasks, points to the intraparietal sulcus (IPS) as a core region that involve in quantity manipulation. However, several additional brain areas, such as frontoparietal and temporoparietal areas were found to be involved in numerical tasks. Individuals with MD show deficits in a distributed, set of brain regions that include the IPS, fusiform gyrus in posterior brain regions and pre frontal cortex regions. Similarly, converging evidence indicate that the left hemisphere regions centered in the fusiform gyrus, temporoparietal cortex, and pre frontal cortex regions are strongly involve in typical reading and present lower activity, connectivity or abnormal structure in RD. Thus, there is a meaningful neural overlap between reading and math. Hence, the authors can submit empirical studies on the role of several of brain regions that are involved in math and reading (commonality and diversity) both in the typical and a-typical development. • Cognitive factors that play role in mathematics and reading, and comorbidity between RD and MD - There is a long lasting debate whether MD and RD originate from unique cognitive mechanisms or not. Multiple cognitive processes are shared between reading and mathematics. Therefore, impairments in any one of domain-general skills could conceivably play an important role in both pure and comorbid conditions. Moreover, it has been suggested that phonological processing has a significant role in some aspects of numerical processing such as retrieval of arithmetical facts. • Education - it will be interesting to look at the effect of interventions that aim to improve reading (such as phonological awareness) and there transfer effect on improving mathematical processing. Alternatively, it will be good to test whether math interventions will improve reading.

"Practical and accessible, this book provides the first step-by-step guide to cognitive strategy instruction, which has been shown to be one of the most effective instructional techniques for students with learning problems. Presented are proven strategies that students can use to improve their self-regulated learning, study skills, and performance in specific content areas, including written language, reading, and math. Clear directions for teaching the strategies in the elementary or secondary classroom are accompanied by sample lesson plans and many concrete examples. Enhancing the book's hands-on utility are more than 20 reproducible worksheets and forms"--

This book helps readers understand, teach, and support children with persistent low academic achievement who don’t meet special education eligibility criteria, or for whom Tier 2 MTSS interventions are insufficient. Designed to be implemented in inclusive classrooms with minimal resources, comprehensive chapters cover topics from reading, writing, and math to executive functions, SEL, and mental health. This critical, ground-breaking volume provides teachers, psychologists, and counselors with an understanding of the issues children and adolescents with mild cognitive limitations and other causes of low academic achievement face, as well as detailed, evidence-based teaching practices to support their academic and social and emotional learning.