Research from the neurosciences and behavioural sciences highlights the importance of individual differences in explaining human behaviour. Individual differences in core psychological constructs, such as intelligence or personality, account for meaningful variations in a vast range of responses and behaviours. Aspects of chess have been increasingly used in the past to evaluate a myriad of psychological theories, and several of these studies consider individual differences to be key constructs in their respective fields. This book summarizes the research surrounding the psychology of chess from an individual- differences perspective. The findings accumulated from nearly forty years' worth of research about chess and individual differences are brought together to show what is known - and still unknown - about the psychology of chess, with an emphasis on how people differ from one another.

The Psychophysics of Learning presents a learning system design approach that is formulated by the strategies and techniques the brain uses to process external information and make sense of that information to the learning ecology of all learners. The psychophysics of sensation, perception, and cognition provide the research information, which is used to formulate the learning system framework. These processes are inherent to all individuals and result in a model that promotes access, learning, and academic success for all learners. This information is applied to the design of the learning engagement, learning experience, and learning environment dimensions of a learning system. The psychophysics of sensation are applied to the design of the learning engagement strategies to ensure that all learners can intellectually access and comprehend the information presented as inputs to the learning system. The psychophysics of cognition are applied to the development of learning environments that integrate and internalize the external learning into the unique cognition of each learner. The resulting system creates a learning system design that is aligned with the natural learning processes of the brain.

The book discusses the analysis, comparison and integration of computational approaches to learning and research on human learning. Learning has for some time been an issue of minor importance in the cognitive sciences. It has, however, now become one of the most active research fields in psychology, the neurosciences, and computer science (machine learning).
The aim of this book is to provide the reader with an overview of the prolific research on learning throughout the disciplines.

The book will not only provide a general overview for those who are new to the field but will also provide specialist knowledge for those who want to learn more about alternative approaches and conceptualizations of learning in other disciplines. The contributing authors are all considered as leading experts in their field and come from the fields of cognitive, computer and educational science. They provide an assessment of the state-of-the-art of research, links between the disciplines, and they highlight the critically important research issues and methodologies, thus providing a basis for future research.

Neuroscience research deals with the physiology, biochemistry, anatomy and molecular biology of neurons and neural circuits and especially their association with behavior and learning. Of late, neuroscience research is playing a pivotal role in industry, science writing, government program management, science advocacy, and education. In the process of learning as experiencing knowledge, the human brain plays a vital role as the central governing system to map the images of learning in the human brain which may be called educational neuroscience. It provides means to develop a common language and bridge the gulf between educators, psychologists and neuroscientists. The emerging field of educational neuroscience presents opportunities as well as challenges for education, especially when it comes to assess the learning disorders and learning intentions of the students. The most effective learning involves recruiting multiple regions of the brain for the learning task. These regions are associated with such functions as memory, the various senses, volitional control, and higher levels of cognitive functioning. By considering biological factors, research has advanced the understanding of specific learning difficulties, such as dyslexia and dyscalculia. Likewise, neuroscience is uncovering why certain types of learning are more rewarding than others. Of late, a lot of research has gone in the field of neural networks and deep learning. It is worthwhile to consider these research areas in investigating the interplay between the human brain and human formal/natural learning. This book is intended to bring together the recent advances in neuroscience research and their influence on the evolving learning systems with special emphasis on the evolution of a learner-centric framework in outcome based education by taking into cognizance the learning abilities and intentions of the learners.

Understanding, as Descartes, Locke and Kant all insisted, is the primary 'faculty' of the mind; yet our modern sciences have been slow to advance a clear and testable account of what it means to understand, of children's acquisition of this concept and, in particular, how children come to ascribe understanding to themselves and others. By drawing together developmental and philosophical theories, this book provides a systematic account of children's concept of understanding and places understanding at the heart of children's 'theory of mind'. Children's subjective awareness of their own minds, of what they think, depends on learning a language for ascribing mental states to themselves and others. This book will appeal to researchers in developmental psychology, cognitive science, education and philosophy who are interested in the cognitive and emotional development of children and in the more basic question of what it means to have a mind.

For over a century and a quarter, the science of learning has expanded at an increasing rate and has achieved the status of a mature science. It has developed powerful methodologies and applications. The rise of this science has been so swift that other learning texts often overlook the fact that, like other mature sciences, the science of learning has developed a large body of knowledge. The Science of Learning comprehensively covers this knowledge in a readable and highly systematic manner. Methodology and application are discussed when relevant; however, these aspects are better appreciated after the reader has a firm grasp of the scientific knowledge of learning processes. Accordingly, the book begins with the most fundamental and well-established principles of the science and builds on the preceding material toward greater complexity. The connections of the material with other sciences, especially its sister science, biology, are referenced throughout. Through these frequent references to biology and evolution, the book keeps in the forefront the recognition that the principles of learning apply to all animals. Thus, in the final section the book brings together all learning principles studied in research settings by demonstrating their relevance to both animals and humans in their natural settings. For animals this is the untamed environment of their niches; for humans it is any social environment, for Homo sapiens is the social and learning animal par excellence.

This volume looks at the latest research techniques to study the interaction of visual spatial learning and attention guidance with behavioral, psychophysiological, and imaging methods. Part One (behavioral methods) focuses on different paradigms of visual search like visual foraging and contextual cueing, and also methods like feature distribution analysis and search in virtual reality. Part Two (psychophysiological methods) integrates innovative uses of classical potential changes like the CDA and N2pc, with multivariate analysis methods and multi-method designs. Part Three (functional imaging) covers lesion-behavior mapping, retinotopic and grid cell mapping methods for human fMRI, as well as functional registration by hyperalignment and simultaneous eye-tracking and fMRI. In Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and comprehensive, Spatial Learning and Attention Guidance is a valuable resource for all researchers and scientists who are interested in learning more about the relationship between attention and memory.

This book explores the evolution of the mental competence for self-reflection: why it evolved, under what selection pressures, in what environments, out of what precursors, and with what mental resources. Integrating evolutionary, psychological, and philosophical perspectives, Radu J. Bogdan argues that the competence for self-reflection, uniquely human and initially autobiographical, evolved under strong and persistent sociocultural and political (collaborative and competitive) pressures on the developing minds of older children and later adults. Self-reflection originated in a basic propensity of the human brain to rehearse anticipatively mental states, speech acts, actions, and states of the world in order to service one's elaborate goal policies. These goal policies integrate offline representations of one's own mental states and actions and those of others in order to handle the challenges of a complex and dynamic sociopolitical and sociocultural life, calling for an adaptive intramental self-regulation: that intramental adaptation is self-reflection.

How gains from early childhood experiences are initiated, increased, sustained, and affect life-course development are fundamental to science and society. They also have increasing policy relevance, given public investments in early learning programs and the need to measure their effectiveness in promoting well-being. With contributions from leading researchers across many disciplines, this book emphasizes key interventions and practices over the first decade of life and the elements and strategies through which gains can be enhanced by schools, families, communities, and public institutions. Three critical themes are addressed: firstly, the importance of documenting and understanding the impact of investments in early childhood and school-age years. Secondly, increased priority on elements and principles for scaling effective programs and practices to benefit all children. Thirdly, a focus on multiple levels of strategies for sustaining gains and promoting long-term effects, ranging from early care and family engagement to school reform, state, and federal policy.

Research from the neurosciences and behavioural sciences highlights the importance of individual differences in explaining human behaviour. Individual differences in core psychological constructs, such as intelligence or personality, account for meaningful variations in a vast range of responses and behaviours. Aspects of chess have been increasingly used in the past to evaluate a myriad of psychological theories, and several of these studies consider individual differences to be key constructs in their respective fields. This book summarizes the research surrounding the psychology of chess from an individual- differences perspective. The findings accumulated from nearly forty years' worth of research about chess and individual differences are brought together to show what is known - and still unknown - about the psychology of chess, with an emphasis on how people differ from one another.

The first text to integrate behavioral and cognitive approaches to learning and memory, this engaging textbook emphasizes human research, reflecting the field's evolution. Learning and Memory also recognizes the vital contribution of animal research, covering all historically important studies. Written in a lively and conversational style, this second edition encourages students to think critically. One example is its exploration of the Rescorla-Wagner model, the most important theory of conditioning, now further streamlined to improve student comprehension. Another is the addition of critical-thinking questions, which encourage students to evaluate their reactions to the material they've read, and relate findings to their own lives. Research includes an emphasis on practical applications such as treatments for phobias, addictions, and autism; the arguments for and against corporal punishment; whether recovered memories and eyewitness testimony should be believed; and effective techniques for studying. The text concludes with an overview of neural networks and deep learning.

The first text to integrate behavioral and cognitive approaches to learning and memory, this engaging textbook emphasizes human research, reflecting the field's evolution. Learning and Memory also recognizes the vital contribution of animal research, covering all historically important studies. Written in a lively and conversational style, this second edition encourages students to think critically. One example is its exploration of the Rescorla-Wagner model, the most important theory of conditioning, now further streamlined to improve student comprehension. Another is the addition of critical-thinking questions, which encourage students to evaluate their reactions to the material they've read, and relate findings to their own lives. Research includes an emphasis on practical applications such as treatments for phobias, addictions, and autism; the arguments for and against corporal punishment; whether recovered memories and eyewitness testimony should be believed; and effective techniques for studying. The text concludes with an overview of neural networks and deep learning.

The purpose of this text is to elicit discussion, reflection, and action specific to pedagogy within education, especially higher education, and circles of experiential learning, community organizing, conflict resolution and youth empowerment work. Vulnerability itself is not a new term within education; however the pedagogical imperatives of vulnerability are both undertheorized in educational discourse and underexplored in practice. This work builds on that of Edward Brantmeier in Re-Envisioning Higher Education: Embodied Pathways to Wisdom and Transformation (Lin, Oxford, & Brantmeier, 2013). In his chapter, "Pedagogy of vulnerability: Definitions, assumptions, and application," he outlines a set of assumptions about the term, clarifying for his readers the complicated, risky, reciprocal, and purposeful nature of vulnerability, particularly within educational settings. Creating spaces of risk taking, and consistent mutual, critical engagement are challenging at a moment in history where neoliberal forces impact so many realms of formal teaching and learning. Within this context, the divide between what educators, be they in a classroom or a community, imagine as possible and their ability to implement these kinds of pedagogical possibilities is an urgent conundrum worth exploring. We must consider how to address these disconnects; advocating and envisioning a more holistic, healthy, forward thinking model of teaching and learning. How do we create cultures of engaged inquiry, framed in vulnerability, where educators and students are compelled to ask questions just beyond their grasp? How can we all be better equipped to ask and answer big, beautiful, bold, even uncomfortable questions that fuel the heart of inquiry and perhaps, just maybe, lead to a more peaceful and just world? A collection of reflections, case studies, and research focused on the pedagogy of vulnerability is a starting point for this work. The book itself is meant to be an example of pedagogical vulnerability, wherein the authors work to explicate the most intimate and delicate aspects of the varied pedagogical journeys, understandings rooted in vulnerability, and those of their students, colleagues, clients, even adversaries. It is a work that "holds space."

Humans are extraordinary creatures, with the unique ability among animals to imitate and so copy from one another ideas, habits, skills, behaviours, inventions, songs, and stories. These are all memes, a term first coined by Richard Dawkins in 1976 in his book The Selfish Gene. Memes, like genes, are replicators, and this enthralling book is an investigation of whether this link between genes and memes can lead to important discoveries about the nature of the inner self. Susan Blackmore makes a compelling case for the theory that the inner self is merely an illusion created by the memes for the sake of replication.

Yrjoe Engestroem's exciting approach sees expansive learning as the central mechanism of transformation in societal practices and institutions. For researchers and practitioners in education, this book provides a conceptual and practical toolkit for creating and analyzing expansive learning processes with the help of interventions in workplaces, schools and communities. Chapters 1-3 situate the theory of expansive learning in the field of learning science. Chapters 4-8 contain empirical studies of expansive learning in various organizational settings (such as banks, schools and hospitals). In Chapters 9-10, the author looks at new challenges and possibilities arising from rapidly spreading 'wildfire' activities (disaster relief, for example) and from the methodology of formative interventions aimed at triggering and supporting expansive learning. This book provides an integrative account of recent empirical studies and conceptual developments in the theory of expansive learning, and serves as a companion volume to Learning by Expanding.

This book examines the human proclivity to resist changing our beliefs. Drawing on psychological, neurological, and philosophical research, and integrating topics as wide ranging as emotion, cognition, social (and physical) context, and learning theory, Lao and Young explore why this resistance to change impedes our learning and progression. They also suggest that failure to adapt our beliefs to available and informed evidence can incur costs that may be seen in personal growth, politics, science, law, medicine, education, and business. Resistance to Belief Change explores the various manifestations of resistance, including overt, discursive, and especially inertial forms of resistance. As well as the influential factors that can impact upon them, the book also examines how the self-directed learner, as well as teachers, may structure the learning experience to overcome resistance and facilitate progressive and adaptive learning. Lao and Young find that the impediments to learning and resistance to change are far more prevalent and costly than previously suggested in research, and so this book will be of interest to a range of people in cognitive development, social psychology, and clinical and educational psychology.

Our longstanding view of memory and remembering is in the midst of a profound transformation. This transformation does not only affect our concept of memory or a particular idea of how we remember and forget; it is a wider cultural process. In order to understand it, one must step back and consider what is meant when we say memory. Brockmeier's far-ranging studies offer such a perspective, synthesizing understandings of remembering from the neurosciences, humanities, social studies, and in key works of autobiographical literature and life-writing. His conclusions force us to radically rethink our very notion of memory as an archive of the past, one that suggests the natural existence of a distinctive human capacity (or a set of neuronal systems) enabling us to "encode," "store," and "recall" past experiences. Now, propelled by new scientific insights and digital technologies, a new picture is emerging. It shows that there are many cultural forms of remembering and forgetting, embedded in a broad spectrum of human activities and artifacts. This picture is more complex than any notion of memory as storage of the past would allow. Indeed it comes with a number of alternatives to the archival memory, one of which Brockmeier describes as the narrative approach. The narrative approach not only permits us to explore the storied weave of our most personal form of remembering-that is, the autobiographical-it also sheds new light on the interrelations among memory, self, and culture.

First published in 1987, Learning by Expanding challenges traditional theories that consider learning a process of acquisition and reorganization of cognitive structures within the closed boundaries of specific tasks or problems. Yrjo Engestrom argues that this type of learning increasingly fails to meet the challenges of complex social change and fails to create novel artifacts and ways of life. In response, he presents an innovative theory of expansive learning activity, offering a foundation for understanding and designing learning as a transformation of human activities and organizations. The second edition of this seminal text features a substantive new introduction that illustrates the development and implementation of Engestrom's theory since its inception."

"Blended learning" is an educational approach that combines online and face-to-face components in the classroom, and it is becoming popular in American schools. But the quality of these programs is inconsistent; some are based on scientific findings on how children learn, while others lack such support. In fact, very little reliable information is currently available on how to create, use, and measure the results of blended learning programs. Instruction Modeling is both a practical guide to developing and implementing blended learning programs and a first-hand account of the creation of one such program, Reasoning Mind. As Reasoning Mind cofounder and instructional designer George Khachatryan explains, instruction modeling is a leading method for designing blended learning programs: carefully study high-quality offline instruction and build online programs to recreate it on a larger scale. This book describes in practical terms how to create a blended learning program, exploring a wide range of scientifically-supported approaches. Some programs draw on cognitive psychology, for instance, others on research in gaming, and still others on modern statistical methods such as "big data." Instruction modeling is unique amongst these approaches in that it relies above all on a deep understanding of the techniques and qualities of the world's best teachers. Making a strong case for broader use of instruction modeling, this book will be of special interest to teachers and education researchers, and an indispensable resource for those interested in the technique for its application in new contexts.

Advances in human genetics and genomics are beginning to move outside the traditional realm of medicine and into the classroom. How will educational officials react when asked to incorporate personalized genomic information into the educational program? This volume bridges the divide between science, education and ethics around the emergent integration of genomics and education. By pairing comprehensive analysis of the issues with primers on the underlying science, the authors put all relevant parties on a level field to facilitate thorough consideration and educated discussion regarding how to move forward in this new era, as well as how best to support the future of education and the future of all students. The volume is unique in bringing together not only scholarly experts but also parents and laypersons. In doing so, it gives voice and understanding to a broad spectrum of disciplines that have a stake in the future of education.

Although the ability to retain, process, and project prior experience onto future situations is indispensable, the human mind also possesses the ability to override experience and adapt to changing circumstances. Cognitive scientist Stellan Ohlsson analyzes three types of deep, non-monotonic cognitive change: creative insight, adaptation of cognitive skills by learning from errors, and conversion from one belief to another, incompatible belief. For each topic, Ohlsson summarizes past research, re-formulates the relevant research questions, and proposes information-processing mechanisms that answer those questions. The three theories are based on the principles of redistribution of activation, specialization of practical knowledge, and re-subsumption of declarative information. Ohlsson develops the implications of those mechanisms by scaling their effects with respect to time, complexity, and social interaction. The book ends with a unified theory of non-monotonic cognitive change that captures the abstract properties that the three types of change share.