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Author: Kieran O'Mahony
Publisher: Taylor & Francis
ISBN: 1040031285
Category : Education
Languages : en
Pages : 237
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Book Description
The Neural Teaching Guide showcases the innovative practices of K-12 teachers who are effectively applying findings from educational neuroscience into their classrooms. Educators today have remarkable opportunities to understand how the complex and often malleable functions of the brain affect learning, behavior, and social-emotional dynamics, but what practical strategies come out of this information? Authored by in-service teachers around the country, this book showcases a variety of brain-based approaches – cutting-edge yet intuitive, evidence-based yet accessibly translated – to helping children realize their potential at school. Both novice and veteran K-12 teachers alike will be reinvigorated to enhance students’ engagement and curiosity, nurture positive behaviors and self-regulation, support interest-based activities and inclusive interactions, identify biases and struggles, and more.
Author: Kieran O'Mahony
Publisher: Taylor & Francis
ISBN: 1040031285
Category : Education
Languages : en
Pages : 237
Get Book Here
Book Description
The Neural Teaching Guide showcases the innovative practices of K-12 teachers who are effectively applying findings from educational neuroscience into their classrooms. Educators today have remarkable opportunities to understand how the complex and often malleable functions of the brain affect learning, behavior, and social-emotional dynamics, but what practical strategies come out of this information? Authored by in-service teachers around the country, this book showcases a variety of brain-based approaches – cutting-edge yet intuitive, evidence-based yet accessibly translated – to helping children realize their potential at school. Both novice and veteran K-12 teachers alike will be reinvigorated to enhance students’ engagement and curiosity, nurture positive behaviors and self-regulation, support interest-based activities and inclusive interactions, identify biases and struggles, and more.
Author: João Arantes
Publisher:
ISBN: 9781734202526
Category :
Languages : en
Pages : 208
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Book Description
We are constantly learning, either we want or not. Learning is very natural to our brains, and it is (or it should be) enjoyable. What is the best way then to learn about effective learning? Making the process simple and fun. Cartoons are a very effective method because we learn with stories, we learn with observations and being part of a narrative. This is the idea of the authors, Harvard Professor and neuroscientist Felipe Fregni and Federal University of Sao Paulo Professor of Systems Thinking Joao Arantes, when they got together to write this cartoon book about learning and how to use this knowledge in teaching practices.This book follows the book of Critical Thinking in Teaching and Learning (Felipe Fregni, 2019) and in 191 cartoons the authors show using funny and simple illustrations the basic neural principles of learning (including the basic principles of neuroplasticity, how we encode new information, the attentional system and learning, memory and learning, the critical importance of our motivation system and how to activate that in educational programs, how stress affect (or help) learning and the use of social interaction in educational programs) and how to apply these principles for teaching (including teaching methods (student-centered vs. teacher-centered methods), online teaching, teaching critical thinking and assessments).We all need to become better learners, especially in a society when fact memorization is no longer important. This book is, therefore, an essential guide to every student and teacher looking to improving their own and their students learning experience.
Author: Zaretta Hammond
Publisher: Corwin Press
ISBN: 1483308022
Category : Education
Languages : en
Pages : 290
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Book Description
A bold, brain-based teaching approach to culturally responsive instruction To close the achievement gap, diverse classrooms need a proven framework for optimizing student engagement. Culturally responsive instruction has shown promise, but many teachers have struggled with its implementation—until now. In this book, Zaretta Hammond draws on cutting-edge neuroscience research to offer an innovative approach for designing and implementing brain-compatible culturally responsive instruction. The book includes: Information on how one’s culture programs the brain to process data and affects learning relationships Ten “key moves” to build students’ learner operating systems and prepare them to become independent learners Prompts for action and valuable self-reflection
Author: Kevin Swingler
Publisher: Morgan Kaufmann
ISBN: 9780126791709
Category : Computers
Languages : en
Pages : 348
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Book Description
This book is designed to enable the reader to design and run a neural network-based project. It presents everything the reader will need to know to ensure the success of such a project. The book contains a free disk with C and C++ programs, which implement many of the techniques discussed in the book.
Author: Wendi Pillars
Publisher: W. W. Norton & Company
ISBN: 0393709841
Category : Education
Languages : en
Pages : 257
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Book Description
A step-by-step guide for teachers to the benefits of visual note-taking and how to incorporate it in their classrooms. We've come a long way from teachers admonishing students to put away their drawings and take traditional long-form notes. Let's be honest: note-taking is boring and it isn't always the most effective way to retain information. This book is a guide for teachers about getting your students drawing and sketching to learn visually. Whether in elementary school or high school, neuroscience has shown that visual learning is a very effective way to retain information. The techniques in this book will help you work with your students in novel ways to retain information. Visual note-taking can be used with diverse learners; all ages; and those who have no drawing experience. Teachers are provided with a library of images and concepts to steal, tweak, and use in any way in their classrooms. The book is liberally illustrated with student examples from elementary and high school students alike.
Author: Mariale M. Hardiman
Publisher: Corwin Press
ISBN: 1412991986
Category : Education
Languages : en
Pages : 257
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Book Description
Compatible with other professional development programs, this model shows how to apply relevant research from educational and cognitive neuroscience to classroom settings through a pedagogical framework. The model's six components are: 1) Establish the emotional connection to learning; 2) Develop the physical learning environment; 3) Design the learning experience; 4) Teach for the mastery of content, skills, and concepts; 5) Teach for the extension and application of knowledge; 6) Evaluate learning. --Book cover.
Author:
Publisher:
ISBN:
Category : Neurosciences
Languages : en
Pages : 182
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Book Description
Author: Ahmed Fawzy Gad
Publisher: Academic Press
ISBN: 0323909345
Category : Medical
Languages : en
Pages : 302
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Book Description
Introduction to Deep Learning and Neural Networks with PythonTM: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and PythonTM code examples to clarify neural network calculations, by book's end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and PythonTM examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network. - Examines the practical side of deep learning and neural networks - Provides a problem-based approach to building artificial neural networks using real data - Describes PythonTM functions and features for neuroscientists - Uses a careful tutorial approach to describe implementation of neural networks in PythonTM - Features math and code examples (via companion website) with helpful instructions for easy implementation
Author: Charu C. Aggarwal
Publisher: Springer
ISBN: 3319944630
Category : Computers
Languages : en
Pages : 512
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Book Description
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.
Author: Vitvan
Publisher: Lulu.com
ISBN: 1329731387
Category : Religion
Languages : en
Pages : 268
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Book Description
One of Vitvan's most important works, his insiders instructions to teachers who might carry his work beyond the limits of Home Farm. Ironically, Vitvan's successors on the Board have never published this, but left it overlooked.
