[PDF] Brain Centric Design eBook

Author : Daniel H. Pink
Publisher : Penguin
Page : 305 pages
File Size : 19,59 MB
Release : 2006-03-07
Category : Psychology
ISBN : 1101157909

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New York Times Bestseller An exciting--and encouraging--exploration of creativity from the author of When: The Scientific Secrets of Perfect Timing The future belongs to a different kind of person with a different kind of mind: artists, inventors, storytellers-creative and holistic "right-brain" thinkers whose abilities mark the fault line between who gets ahead and who doesn't. Drawing on research from around the world, Pink (author of To Sell Is Human: The Surprising Truth About Motivating Others) outlines the six fundamentally human abilities that are absolute essentials for professional success and personal fulfillment--and reveals how to master them. A Whole New Mind takes readers to a daring new place, and a provocative and necessary new way of thinking about a future that's already here.

Author : National Research Council
Publisher : National Academies Press
Page : 386 pages
File Size : 21,10 MB
Release : 2000-08-11
Category : Education
ISBN : 0309131979

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First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.

Author : John Whalen
Publisher :
Page : 0 pages
File Size : 28,44 MB
Release : 2019
Category : Business & Economics
ISBN : 9781491985458

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This practical book will help you uncover critical insights about how your customers think so you can create products or services with an exceptional experience

Author : Hugh Beyer
Publisher : Morgan Kaufmann
Page : 498 pages
File Size : 50,49 MB
Release : 1998
Category : Computers
ISBN : 1558604111

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This is the only book that describes a complete approach to customer-centered design, from customer data to system design. Readers will be able to develop the work models that represent all aspects of customer work practices.

Author : Rich Carr
Publisher :
Page : 0 pages
File Size : 43,36 MB
Release : 2023-09-25
Category :
ISBN :

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Ever felt the pressure to capture and sustain someone's attention? If you're someone who champions the cause of people - educators, marketers, team leaders, or communicators - this book is your essential guide."SURPRISED: The Science & Art of Engagement" seamlessly bridges the gap between cognitive science and real-world application, unveiling the profound impact of surprise in creating engagement that's not just fleeting but deeply rooted.In a world overflowing with stimuli, ensuring your message doesn't just register, but resonates, is both an art and a science. Within these pages, you'll uncover:The neuroscience behind genuine engagement and how our brains are wired to respond.Practical tools and strategies to harness the power of surprise in diverse settings.Stories and case studies demonstrating the transformative potential of intrinsically motivated attention.Whether you're crafting an educational curriculum, leading a dynamic team, or building meaningful brand narratives, this book equips you with the knowledge to make every interaction matter. Elevate your engagement game. Harness the unexpected. Become a master of motivation from within.Secure your path to becoming an engagement maestro. Add "SURPRISED: The Science & Art of Engagement" to your cart today.

Author : Mark F. Horstemeyer
Publisher : Elsevier
Page : 276 pages
File Size : 42,47 MB
Release : 2021-11-02
Category : Technology & Engineering
ISBN : 0128181443

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Multiscale Biomechanical Modeling of the Brain discusses the constitutive modeling of the brain at various length scales (nanoscale, microscale, mesoscale, macroscale and structural scale). In each scale, the book describes the state-of-the- experimental and computational tools used to quantify critical deformational information at each length scale. Then, at the structural scale, several user-based constitutive material models are presented, along with real-world boundary value problems. Lastly, design and optimization concepts are presented for use in occupant-centric design frameworks. This book is useful for both academia and industry applications that cover basic science aspects or applied research in head and brain protection. The multiscale approach to this topic is unique, and not found in other books. It includes meticulously selected materials that aim to connect the mechanistic analysis of the brain tissue at size scales ranging from subcellular to organ levels. Presents concepts in a theoretical and thermodynamic framework for each length scale Teaches readers not only how to use an existing multiscale model for each brain but also how to develop a new multiscale model Takes an integrated experimental-computational approach and gives structured multiscale coverage of the problems

Author : Dr. A. Mary Noya Leena
Publisher : Coimbatore Institute of Information Technology
Page : 144 pages
File Size : 36,41 MB
Release : 2024-04-01
Category : Education
ISBN : 9361267728

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In today's rapidly evolving world, where advancements in technology are reshaping every aspect of our lives, the field of education is not immune to change. With the advent of Artificial Intelligence (AI) and insights from neuroscience, educators have unprecedented opportunities to revolutionize the way we learn and develop cognitively. "Designing Tomorrow's Mind" explores the intersection of design thinking, AI, and brain-based learning to create innovative approaches for enhancing cognitive development in learners of all ages. It explores how traditional educational models have evolved over time and sets the stage for understanding the need for new approaches to cognitive development in the digital age. Design thinking has emerged as a powerful methodology for solving complex problems and fostering innovation. Artificial Intelligence is transforming various industries, and education is no exception. This book chapters examines the potential of AI in personalized learning, adaptive assessment, and educational analytics. It also discusses the ethical considerations and challenges associated with AI integration in education. Neuroscience research offers valuable insights into how the brain learns and retains information and explores key findings from neuroscience and their implications for designing effective learning experiences that align with the brain's natural processes. Combining principles from design thinking, AI, and neuroscience, this chapters presents a framework for designing AI-enabled brain-based learning experiences.