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From Curiosity to Deep Learning

From Curiosity to Deep Learning PDF Author: Julie Coiro
Publisher:
ISBN: 1625311567
Category : Curiosity in children
Languages : en
Pages : 256

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Book Description
"In an era where personalized learning has often come to be associated with isolated one-to-one device technology, we thirst for this personal, constructivist, collaborative approach to digital inquiry." --Stephanie Harvey From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5 reveals the powerful learning that results when you integrate purposeful technology into a classroom culture that values curiosity and deep learning. The centerpiece of this practical guide is Personal Digital Inquiry (PDI), a framework developed by Julie Coiro and implemented in classrooms by her co-authors, Elizabeth Dobler and Karen Pelekis. Clear, detailed examples offer ideas for K-5 teachers and school librarians to support their teaching. Personal emphasizes the significance of the personal relationship between teachers and students, and the role that students have in the learning process. Digital reflects the important role that digital texts and tools have come to play in both learning and teaching with inquiry. Inquiry lies at the core of PDI, because learners grow and change with opportunities to identify problems, generate personal wonderings, and engage in collaborative dialogue, making learning relevant and lasting. From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5 shows you how to integrate inquiry with a range of digital tools and resources that will create a dynamic classroom for both you and your students.

From Curiosity to Deep Learning

From Curiosity to Deep Learning PDF Author: Julie Coiro
Publisher:
ISBN: 1625311567
Category : Curiosity in children
Languages : en
Pages : 256

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Book Description
"In an era where personalized learning has often come to be associated with isolated one-to-one device technology, we thirst for this personal, constructivist, collaborative approach to digital inquiry." --Stephanie Harvey From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5 reveals the powerful learning that results when you integrate purposeful technology into a classroom culture that values curiosity and deep learning. The centerpiece of this practical guide is Personal Digital Inquiry (PDI), a framework developed by Julie Coiro and implemented in classrooms by her co-authors, Elizabeth Dobler and Karen Pelekis. Clear, detailed examples offer ideas for K-5 teachers and school librarians to support their teaching. Personal emphasizes the significance of the personal relationship between teachers and students, and the role that students have in the learning process. Digital reflects the important role that digital texts and tools have come to play in both learning and teaching with inquiry. Inquiry lies at the core of PDI, because learners grow and change with opportunities to identify problems, generate personal wonderings, and engage in collaborative dialogue, making learning relevant and lasting. From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5 shows you how to integrate inquiry with a range of digital tools and resources that will create a dynamic classroom for both you and your students.

Deep Learning in a Disorienting World

Deep Learning in a Disorienting World PDF Author: Jon F. Wergin
Publisher: Cambridge University Press
ISBN: 1108570178
Category : Psychology
Languages : en
Pages :

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Book Description
Much has been written about the escalating intolerance of worldviews other than one's own. Reasoned arguments based on facts and data seem to have little impact in our increasingly post-truth culture dominated by social media, fake news, tribalism, and identity politics. Recent advances in the study of human cognition, however, offer insights on how to counter these troubling social trends. In this book, psychologist Jon F. Wergin calls upon recent research in learning theory, social psychology, politics, and the arts to show how a deep learning mindset can be developed in both oneself and others. Deep learning is an acceptance that our understanding of the world around us is only temporary and is subject to constant scrutiny. Someone who is committed to learning deeply does not simply react to experiences, but engages fully with that experience, knowing that the inevitable disquietude is what leads to efficacy in the world.

Empowering Students as Questioners

Empowering Students as Questioners PDF Author: Jackie Acree Walsh
Publisher: Corwin Press
ISBN: 1544331762
Category : Education
Languages : en
Pages : 168

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Book Description
Create environments where students ask questions, not just answer them! When students become questioners, learning improves for all. Yet, even though research has repeatedly shown that student questioning increases ownership of learning and narrows opportunity gaps, studies show that students ask less than five percent of the questions in classrooms today. How do you turn this teacher-centric dynamic around? In this book by bestselling author and education expert Jackie Walsh, the author shifts the focus to student-centric learning and how to develop student questioning strategies, including self-questions, academic questions, exploratory questions, and dialogic questions. Other highlights include: • Vignettes of quality questioning in action in various grade-level and content-area classrooms • Examples of how to use questioning to harness the power of formative assessment and create a culture of inquiry • Student questioning models for distance learning By instilling students with the desire and ability to become better questioners, teachers will see more actively engaged students, more collaboration, and an increase in overall student motivation for learning and achievement.

Creating Makers: How to Start a Learning Revolution at Your Library

Creating Makers: How to Start a Learning Revolution at Your Library PDF Author: Megan Egbert
Publisher: ABC-CLIO
ISBN: 1440843872
Category : Language Arts & Disciplines
Languages : en
Pages : 107

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Book Description
This book shows you how, even with a tight budget and limited space, you can foster "maker mentality" in your library and help patrons reap the learning benefits of making—with or without a makerspace. • Offers librarians creative ways to become involved in the exciting maker movement and encourage maker mentality among patrons • Presents an approach through which any library, no matter their size or budget, can participate • Speaks to all ages, experience levels, and educational levels • Fills a gap in the literature by providing libraries with limited resources the means to offer maker opportunities

Rigor in the Remote Learning Classroom

Rigor in the Remote Learning Classroom PDF Author: Barbara R. Blackburn
Publisher: Routledge
ISBN: 1000246353
Category : Education
Languages : en
Pages : 120

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Book Description
Learn how to keep the rigor and motivation alive in a remote learning or hybrid K–12 classroom. In this essential book, bestselling author Barbara R. Blackburn shares frameworks and tools to help you move online without compromising the rigor of your instruction. You’ll learn... how to create a remote culture of high expectations; how to scaffold so students reach higher levels of learning; how to have students collaborate in different settings; and how to provide virtual feedback and deliver effective assessments. You’ll also discover how common activities, such as virtual field trips, can lack rigor without critical thinking prompts. The book provides practical strategies you can implement immediately to help all students reach higher levels of success.

Deep Learning

Deep Learning PDF Author: Frank Millstein
Publisher: Frank Millstein
ISBN:
Category : Computers
Languages : en
Pages : 266

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Book Description
Deep Learning - 2 BOOK BUNDLE!! Deep Learning with Keras This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition and much more. Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio. The book will definitely be your best companion on this great deep learning journey with Keras introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks. Here Is a Preview of What You’ll Learn Here… The difference between deep learning and machine learning Deep neural networks Convolutional neural networks Building deep learning models with Keras Multi-layer perceptron network models Activation functions Handwritten recognition using MNIST Solving multi-class classification problems Recurrent neural networks and sequence classification And much more... Convolutional Neural Networks in Python This book covers the basics behind Convolutional Neural Networks by introducing you to this complex world of deep learning and artificial neural networks in a simple and easy to understand way. It is perfect for any beginner out there looking forward to learning more about this machine learning field. This book is all about how to use convolutional neural networks for various image, object and other common classification problems in Python. Here, we also take a deeper look into various Keras layer used for building CNNs we take a look at different activation functions and much more, which will eventually lead you to creating highly accurate models able of performing great task results on various image classification, object classification and other problems. Therefore, at the end of the book, you will have a better insight into this world, thus you will be more than prepared to deal with more complex and challenging tasks on your own. Here Is a Preview of What You’ll Learn In This Book… Convolutional neural networks structure How convolutional neural networks actually work Convolutional neural networks applications The importance of convolution operator Different convolutional neural networks layers and their importance Arrangement of spatial parameters How and when to use stride and zero-padding Method of parameter sharing Matrix multiplication and its importance Pooling and dense layers Introducing non-linearity relu activation function How to train your convolutional neural network models using backpropagation How and why to apply dropout CNN model training process How to build a convolutional neural network Generating predictions and calculating loss functions How to train and evaluate your MNIST classifier How to build a simple image classification CNN And much, much more! Get this book bundle NOW and SAVE money!

Deep Learning with Keras

Deep Learning with Keras PDF Author: Frank Millstein
Publisher: Frank Millstein
ISBN:
Category : Computers
Languages : en
Pages : 148

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Book Description
Deep Learning with Keras This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition and much more. Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio. The book will definitely be your best companion on this great deep learning journey with Keras introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks. Here Is a Preview of What You’ll Learn Here… The difference between deep learning and machine learning Deep neural networks Convolutional neural networks Building deep learning models with Keras Multi-layer perceptron network models Activation functions Handwritten recognition using MNIST Solving multi-class classification problems Recurrent neural networks and sequence classification And much more... Get this book NOW and learn more about Deep Learning with Keras!

Cultivating Curiosity in K-12 Classrooms

Cultivating Curiosity in K-12 Classrooms PDF Author: Wendy L. Ostroff
Publisher: ASCD
ISBN: 1416622004
Category : Education
Languages : en
Pages : 176

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Book Description
Curiosity comes from within—we just have to know how to unleash it. We learn by engaging and exploring, asking questions and testing out answers. Yet our classrooms are not always places where such curiosity is encouraged and supported. Cultivating Curiosity in K–12 Classrooms describes how teachers can create a structured, student-centered environment that allows for openness and surprise, where inquiry guides authentic learning. Award-winning educator Wendy L. Ostroff shows how to foster student curiosity through exploration, novelty, and play; questioning and critical thinking; and experimenting and problem solving. With techniques to try, scaffolding advice, and relevant research from neuroscience and psychology, this book will help teachers harness the powerful drive in all learners—the drive to know, understand, and experience the world in a meaningful way.

Deep Learning for the Earth Sciences

Deep Learning for the Earth Sciences PDF Author: Gustau Camps-Valls
Publisher: John Wiley & Sons
ISBN: 1119646162
Category : Technology & Engineering
Languages : en
Pages : 432

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Book Description
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.

The Psychology of Asian Learners

The Psychology of Asian Learners PDF Author: Ronnel B. King
Publisher: Springer
ISBN: 981287576X
Category : Education
Languages : en
Pages : 664

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Book Description
This book celebrates the scholarly achievements of Prof. David A. Watkins, who has pioneered research on the psychology of Asian learners, and helps readers grasp the cognitive, motivational, developmental, and socio-cultural aspects of Asian learners learning experiences. A wide range of empirical and review papers, which examine the characteristics of these experiences as they are shaped by both the particularities of diverse educational systems/cultural milieus and universal principles of human learning and development, are showcased. The individual chapters, which explore learners from fourteen Asian countries, autonomous regions, and/or economies, build on research themes and approaches from Prof. Watkins’ research work, and are proof of the broad importance and enduring relevance of his seminal psychological research on learners and the learning process.