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.

The concept of 'communities of practice' (Lave and Wenger 1991, Wenger 1998) has become an influential one in education, management, and social sciences in recent years. This book consists of a series of studies by linguists and educational researchers, examining and developing aspects of the concept which have remained relatively unexplored. Framings provided by theories of language-in-use, literacy practices, and discourse extend the concept, bringing to light issues around conflict, power, and the significance of the broader social context which have been overlooked. Chapters assess the relationship between communities of practice and other theories including literacy studies, critical language studies, the ethnography of communication, socio-cultural activity theory, and sociological theories of risk. Domains of empirical research reported include schools, police stations, adult basic education, higher education, and multilingual settings. The book highlights the need to incorporate thinking around language-in-use, power and conflict, and social context into communities of practice.

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.

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 book is a systematic introduction to learning psychology. It describes, analyzes and explains learning by means of 19 scenarios from everyday situations. The reader may therefore connect theoretical considerations with experiences he or she can easily follow. Several scenarios stem from family situations, others from school and business, and still others refer to very individual learning processes: modification of one's own behavior, acquisition of motor skills, or elaborating one's knowledge structures or problems solving abilities. Having worked through the 19 scenarios the reader will be acquainted with the important learning theories: behavioristic, cognitive, social-cognitive as well as the Gestaltists'.

The fully updated eighth edition of Cognitive Psychology: A Student’s Handbook provides comprehensive yet accessible coverage of all the key areas in the field ranging from visual perception and attention through to memory and language. Each chapter is complete with key definitions, practical real-life applications, chapter summaries and suggested further reading to help students develop an understanding of this fascinating but complex field.

The new edition includes:

an increased emphasis on neuroscience

updated references to reflect the latest research

applied ‘in the real world’ case studies and examples.

Widely regarded as the leading undergraduate textbook in the field of cognitive psychology, this new edition comes complete with an enhanced accompanying companion website. The website includes a suite of learning resources including simulation experiments, multiple-choice questions, and access to Primal Pictures’ interactive 3D atlas of the brain. The companion website can be accessed at: www.routledge.com/cw/eysenck.

Table of Contents

List of illustrations

Preface

Visual tour (how to use this book)

1 Approaches to human cognition

Introduction

Cognitive psychology

Cognitive neuropsychology

Cognitive neuroscience: the brain in action

Computational cognitive science

Comparisons of major approaches

Is there a replication crisis?

Outline of this book

Chapter summary

Further reading

PART I: Visual perception and attention

2 Basic processes in visual perception

Introduction

Vision and the brain

Two visual systems: perception-action model

Colour vision

Depth perception

Perception without awareness: subliminal perception

Chapter summary

Further reading

3 Object and face recognition

Introduction

Pattern recognition

Perceptual organisation

Approaches to object recognition

Object recognition: top-down processes

Face recognition

Visual imagery

Chapter summary

Further reading

4 Motion perception and action

Introduction

Direct perception

Visually guided movement

Visually guided action: contemporary approaches

Perception of human motion

Change blindness

Chapter summary

Further reading

5 Attention and performance

Introduction

Focused auditory attention

Focused visual attention

Disorders of visual attention

Visual search

Cross-modal effects

Divided attention: dual-task performance

“Automatic” processing

Chapter summary

Further reading

PART II: Memory

6 Learning, memory and forgetting

Introduction

Short-term vs long-term memory

Working memory: Baddeley and Hitch

Working memory: individual differences and executive functions

Levels of processing (and beyond)

Learning through retrieval

Implicit learning

Forgetting from long-term memory

Chapter summary

Further reading

7 Long-term memory systems

Introduction

Declarative memory

Episodic memory

Semantic memory

Non-declarative memory

Beyond memory systems and declarative vs non-declarative memory

Chapter summary

Further reading

8 Everyday memory

Introduction

Autobiographical memory: introduction

Memories across the lifetime

Theoretical approaches to autobiographical memory

Eyewitness testimony

Enhancing eyewitness memory

Prospective memory

Theoretical perspectives on prospective memory

Chapter summary

Further reading

PART III: Language

9 Speech perception and reading

Introduction

Speech (and music) perception

Listening to speech

Context effects

Theories of speech perception

Cognitive neuropsychology

Reading: introduction

Word recognition

Reading aloud

Reading: eye-movement research

Chapter summary

Further reading

10 Language comprehension

Introduction

Parsing: overview

Theoretical approaches: parsing and prediction

Pragmatics

Individual differences: working memory capacity

Discourse processing: inferences

Discourse comprehension: theoretical approaches

Chapter summary

Further reading

11 Language production

Introduction

Basic aspects of speech production

Speech planning

Speech errors

Theories of speech production

Cognitive neuropsychology: speech production

Speech as communication

Writing: the main processes

Spelling

Chapter summary

Further reading

PART IV: Thinking and reasoning

12 Problem solving and expertise

Introduction

Problem solving: introduction

Gestalt approach and beyond: insight and role of experience

Problem-solving strategies

Analogical problem solving and reasoning

Expertise

Chess-playing expertise

Medical expertise

Brain plasticity

Deliberate practice and beyond

Chapter summary

Further reading

13 Judgement and decision-making

Introduction

Judgement research

Theories of judgement

Decision-making under risk

Decision-making: emotional and social factors

Applied and complex decision-making

Chapter summary

Further reading

14 Reasoning and hypothesis testing

Introduction

Hypothesis testing

Deductive reasoning

Theories of “deductive” reasoning

Brain systems in reasoning

Informal reasoning

Are humans rational?

Chapter summary

Further reading

PART V: Broadening horizons

15 Cognition and emotion

Introduction

Appraisal theories

Emotion regulation

Affect and cognition: attention and memory

Affect and cognition: judgement and decision-making

Judgement and decision-making: theoretical approaches

Anxiety, depression and cognitive biases

Cognitive bias modification and beyond

Chapter summary

Further reading

16 Consciousness

Introduction

Functions of consciousness

Assessing consciousness and conscious experience

Global workspace and global neuronal workspace theories

Is consciousness unitary?

Chapter summary

Further reading

Glossary

References

Author index

Subject index

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.

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.

"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.

Slow Looking provides a robust argument for the importance of slow looking in learning environments both general and specialized, formal and informal, and its connection to major concepts in teaching, learning, and knowledge. A museum-originated practice increasingly seen as holding wide educational benefits, slow looking contends that patient, immersive attention to content can produce active cognitive opportunities for meaning-making and critical thinking that may not be possible though high-speed means of information delivery. Addressing the multi-disciplinary applications of this purposeful behavioral practice, this book draws examples from the visual arts, literature, science, and everyday life, using original, real-world scenarios to illustrate the complexities and rewards of slow looking.

In the past 20 years, neuroimaging has provided us with a wealth of data regarding human memory. However, to what extent can neuroimaging constrain, support or falsify psychological theories of memory? To what degree is research on the biological bases of memory actually guided by psychological theory?
In looking at the close interaction between neuroimaging research and psychological theories of human memory, this book presents a state-of-the-art exploration of imaging research on human memory, along with accounts of the significance of these findings with regard to fundamental psychological questions. The book starts with a summary of some of the conceptual problems we face in understanding neuroimaging data. It then looks at the four areas of human memory research that have been most intensively studied with modern brain imaging tools - Learning and consolidation, Working memory control processes and storage, Long-term memory representations, and Retrieval control processes. Throughout, the book shows how brain imaging methods, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), can help us increase our knowledge of how human memory is organized, how memory representations are stored, consolidated and retrieved, and how access to memory contents is controlled. With all chapters written by leading researchers in the field, the book will be essential for all those interested in the psychology and neuroscience of memory.

The cognitive and neural sciences have been on the brink of a paradigm shift for over a decade now. The traditional information-processing framework in psychology, with its computer metaphor of the mind, is still considered to be the mainstream approach. However, the dynamical-systems perspective on mental activity is now receiving a more rigorous treatment, allowing it to move beyond the trendy buzzwords that have become associated with it. The Continuity of Mind will help to galvanize the forces of dynamical systems theory, cognitive and computational neuroscience, connectionism, and ecological psychology that are needed to complete this paradigm shift.
In this book, Michael Spivey lays bare the fact that comprehending a spoken sentence, understanding a visual scene, or just thinking about the day's events involves the coalescing of different neuronal activation patterns over time, i.e., a continuous state-space trajectory that flirts with a series of point attractors. As a result, the brain cannot help but spend most of its time instantiating patterns of activity that are in between identifiable mental states rather than in them. When this scenario is combined with the fact that most cognitive processes are richly embedded in their environmental context in real time, the state space (in which brief visitations of attractor basins are your 'thoughts') suddenly encompasses not just neuronal dimensions, but extends to biomechanical and environmental dimensions as well. As a result, your moment-by-moment experience of the world around you, even right now, can be described as a continuous trajectory through a high-dimensional state space that comprises diverse mental states.
Spivey has organized The Continuity of Mind to present a systematic overview of how perception, cognition, and action are partially overlapping segments of one continuous mental flow, rather than three distinct mental systems. As a result, the apparent partitions that were once thought to separate mental constructs inevitably turn out, upon closer inspection, to be fuzzy graded transitions. The initial chapters provide first-hand demonstrations of the 'gray areas' in mental activity that happen in between discretely labeled mental events, as well as geometric visualizations of attractors in state space that make the dynamical-systems framework seem less mathematically abstract. The middle chapters present scores of behavioral and neurophysiological studies that portray the continuous temporal dynamics inherent in categorization, language comprehension, visual perception, as well as attention, action, and reasoning. The final chapters discuss what the mind itself must look like if its activity is continuous in time and its contents are distributed in state space. The Continuity of Mind is essential reading for those in the cognitive and neural sciences who want to see where the Dynamical Cognition movement is taking us.

While Experiential Learning has been one of the most influential methods in the education and development of managers and management students, it has also been one of the most misunderstood. This Handbook offers the reader a comprehensive picture of current thinking on experiential learning; ideas and examples of experiential learning in practice; and it emphasises the importance of experiential learning to the future of management education.
Contributors include:
Chris Argyris, Joseph Champoux, D. Christopher Kayes, Ruth Colquhoun, John Coopey, Nelarine Cornelius, Elizabeth L. Creese,
Gordon Dehler, Andrea Ellinger, Meretta Elliott, Silvia Gherardi, Jeff Gold, Steve G. Green, Kurt Heppard, Anne Herbert, Robin Holt, Martin J. Hornyak, Paula Hyde, Tusse Sidenius Jensen, Sandra Jones, Anna Kayes, Kirsi Korpiaho, Tracy Lamping, Tony Lingham, Enrico Maria Piras, Sallyanne Miller, Amar Mistry, Dale Murray, Jean Neumann, Barbara Poggio, Keijo Rasanen, Peter Reason, Michael Reynolds, Bente Rugaard Thorsen, Burkard Sievers, Stephen Smith, Sari Stenfors, Antonio Strati, Elaine Swan, Jane Thompson, Richard Thorpe, Kiran Trehan, Russ Vince, Jane Rohde Voight, Tony Watson, and Ann Welsh.

This is a systematic presentation of the parametric approach to child language. Linguistic theory seeks to specify the range of grammars permitted by the human language faculty and thereby to specify the child's "hypothesis space" during language acquisition. Theories of language variation have central implications for the study of child language, and vice versa. Yet the acquisitional predictions of such theories are seldom tested against attested data. This book aims to redress this neglect. It considers the nature of the information the child must acquire according to the various linguistic theories. In doing so it sets out in detail the practical aspects of acquisitional research, addresses the challenges of working with children of different ages, and shows how the resulting data can be used to test theories of grammatical variation. Particular topics examined in depth include the acquisition of syllable structure, empty categories, and wh-movement. The data sets on which the book draws are freely available to students and researchers via a website maintained by the author.
The book is written for scholars and students of child language acquisition in linguistics, psychology, and cognitive science. It will be a valuable reference for researchers in child language acquisition in all fields.

For years now, learning has been at the heart of research within cognitive psychology. How do we acquire new knowledge and new skills? Are the principles underlying skill acquisition unique to learning, or similar to those underlying other behaviours? Is the mental system essentially modular, or is the mental system a simple product of experience, a product that, inevitably, reflects the shape of the external world with all of its specialisms and similarities? This new books takes the view that learning is a major influence on the nature of the processes and representations that fill our minds. Throughout, the authors review and consider the psychological research areas of skill acquisition and lexical representation to illustrate the effects that practice can have on cognitive phenomena. They also draw parallels between theories in physical and biological domains to not only propose a new theory of mental function but also demonstrate that the mind is subject to the same natural laws as the physical world. In so doing Speelman and Kirsner present a new perspective on Psychology--one that identifies universal principles underlying all behaviours and one which contrasts markedly from our current focus on highly specific behaviours. Accessibly written, Beyond the Learning Curve is a thought provoking and challenging new text for students and researchers in the cognitive sciences.