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.

In order to design and deliver effective learning and development initiatives, it is essential to understand how our brains process and retain information. Neuroscience for Learning and Development introduces the latest research and concepts, equipping L&D and training professionals with an understanding of the inner workings of the mind. Covering areas such as how to create effective learning environments, promoting motivation and how to make learning 'stickier' through the use of stories, the book offers practical tools and ideas that can be applied in a variety of contexts, from digital learning and in-person training sessions, to coaching conversations, to lectures and presentations. Neuroscience for Learning and Development also features insights from L&D practitioners who have applied these approaches. Readers will not only find new techniques they can implement straight away, but will also discover research that backs up what they are already doing well, enabling them to put convincing cases to budget holders. This updated second edition contains new chapters on digital learning and on the importance of sleep, as well as updated wider content and new material on mindfulness, learning through your senses and the neuroscience of habits.

Work with your brain, not against it. Use neuroscience foundations to learn better, faster, and stronger. All our lives, we've been taught ways to learn that are utterly ineffective and ignorant as to how our brains work. This book will transform your approach to learning. Scientifically-proven, step-by-step methods for effective learning. Neuro-Learning is a mini tour of our brains, including its highs and lows. This book will show you the most effective methods for learning, the pitfalls we must avoid, and the habits we must cultivate. It borrows from multiple scientific disciplines to present comprehensive techniques to simply learn more, faster. Memorize more and learn more deeply - in less time. Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with a multitude of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience. Achieve expertise faster, beat distractions and procrastination, and break down complexity. •A tour of the brain's main functions and how they affect your quest learning goals. •The learning techniques that work, and those that don't - with evidence. •How to never need to cram again. •The learning mistakes you are probably committing right now. •The learning myths you are probably still believing. •How your emotions and imagination can assist in learning. Learning to learn unlocks everything you want in life. It takes you from Point A to Point B, and is the only way to guarantee continual progress and development in your life and skills.

"As scholarly as [it] is . . . this book about education happens to double as an optimistic, even thrilling, summer read." —The New York Times A brilliant combination of science and its real-world application, Now You See It sheds light on one of the greatest problems of our historical moment: our schools and businesses are designed for the last century, not for a world in which technology has reshaped the way we think and learn. In this informed and optimistic work, Cathy N. Davidson takes us on a tour of the future of work and education, introducing us to visionaries whose groundbreaking ideas will soon affect every arena of our lives, from schools with curriculums built around video games to workplaces that use virtual environments to train employees.

Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications. Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.

"The past year has had an unprecedented impact on teaching and learning, with digitally supported learning both in a spotlight but also highly criticized so this book will showcase effective practices based on innovative initiatives, research, and practitioner experiences from the past two decades"--

Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.