From Curiosity To Deep Learning
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From Curiosity To Deep Learning
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Author : Julie Coiro
language : en
Publisher: Taylor & Francis
Release Date : 2023-10-10
From Curiosity To Deep Learning written by Julie Coiro and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Education categories.
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.
Cultivating Curiosity In K 12 Classrooms
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Author : Wendy L. Ostroff
language : en
Publisher: ASCD
Release Date : 2016-07-13
Cultivating Curiosity In K 12 Classrooms written by Wendy L. Ostroff and has been published by ASCD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-13 with Education categories.
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
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Author : Michael Fullan
language : en
Publisher: Corwin Press
Release Date : 2017-11-06
Deep Learning written by Michael Fullan and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-06 with Education categories.
Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep Learning is a global partnership that works to: transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving; and supports schools, districts, and systems to shift practice and how to measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships and drive deep learning. Inside you’ll find: The Deep Learning Framework Vignettes and case studies from K-12 classrooms in 1,200 schools in seven countries Guidance for reaching disadvantaged and differently abled students Sample protocols and rubrics for assessment Videos demonstrating deep learning design and innovative leadership in practice Through learning partnerships, learning environments, new pedagogical practices, and leveraged digital skills, deep learning reaches students as never before — preparing them to be active, engaged participants in their future.
What The Best College Students Do
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Author : Ken Bain
language : en
Publisher: Harvard University Press
Release Date : 2012-08-27
What The Best College Students Do written by Ken Bain and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-27 with Education categories.
The author of the best-selling What the Best College Teachers Do is back with humane, doable, and inspiring help for students who want to get the most out of their education. The first thing they should do? Think beyond the transcript. Use these four years to cultivate habits of thought that enable learning, growth, and adaptation throughout life.
Cultivating Curiosity
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Author : Doreen Gehry Nelson
language : en
Publisher: John Wiley & Sons
Release Date : 2021-09-28
Cultivating Curiosity written by Doreen Gehry Nelson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-28 with Education categories.
Give your students a leg up and improve learning outcomes with this revolutionary, hands-on approach to teaching In Cultivating Curiosity: Teaching and Learning Reimagined, distinguished educator and author Doreen Gehry Nelson inspires anyone yearning to break away from formulaic teaching. Told from dozens of powerful and personal perspectives, the effectiveness and versatility of the Doreen Nelson Method of Design-Based Learning described in the book is backed by years of quantitative and qualitative data. You’ll learn how applying this cross-curricular methodology can transform your K-12 teaching practice, regardless of changes in content standards. The book includes: Discussions about how to launch creative and critical thinking in your students Explanations of the methodology’s 6 1⁄2 Steps of Backward ThinkingTM that invigorate the teaching experience and dramatically improve learning The inception of the methodology and the experiences of K-12 teachers who practice it in their classrooms. Perfect for K-12 educators seeking a methodology that consistently engages students in applying what they learn, Cultivating Curiosity is also an ideal resource for teachers-in-training, administrators, and post-secondary educators.
Developing Natural Curiosity Through Project Based Learning
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Author : Dayna Laur
language : en
Publisher: Routledge
Release Date : 2017-02-17
Developing Natural Curiosity Through Project Based Learning written by Dayna Laur and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-17 with Education categories.
Developing Natural Curiosity through Project-Based Learning is a practical guide that provides step-by-step instructions for PreK–3 teachers interested in embedding project-based learning (PBL) into their daily classroom routine. The book spells out the five steps teachers can use to create authentic PBL challenges for their learners and illustrates exactly what that looks like in an early childhood classroom. Authentic project-based learning experiences engage children in the mastery of twenty-first-century skills and state standards to empower them as learners, making an understanding of PBL vital for PreK–3 teachers everywhere.
Deep Learning With Keras Beginner S Guide To Deep Learning With Keras
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Author : Frank Millstein
language : en
Publisher: Frank Millstein
Release Date : 2019-10-20
Deep Learning With Keras Beginner S Guide To Deep Learning With Keras written by Frank Millstein and has been published by Frank Millstein this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-20 with Computers categories.
" 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! "
The Deep Learning Revolution
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Author : Terrence J. Sejnowski
language : en
Publisher: MIT Press
Release Date : 2018-10-23
The Deep Learning Revolution written by Terrence J. Sejnowski and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-23 with Computers categories.
Explore how deep learning—from Google Translate and Siri to driverless cars—is changing our lives and transforming every sector of the economy. “An important and timely book, written by a gifted scientist at the cutting edge of the AI revolution.” —Nature The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
Teaching For Deeper Learning
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Author : Jay McTighe
language : en
Publisher: ASCD
Release Date : 2020-01-22
Teaching For Deeper Learning written by Jay McTighe and has been published by ASCD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-22 with Education categories.
Far too often, our students attain only a superficial level of knowledge that fails to prepare them for deeper challenges in school and beyond. In Teaching for Deeper Learning, renowned educators and best-selling authors Jay McTighe and Harvey F. Silver propose a solution: teaching students to make meaning for themselves. Contending that the ability to "earn" understanding will equip students to thrive in school, at work, and in life, the authors highlight seven higher-order thinking skills that facilitate students' acquisition of information for greater retention, retrieval, and transfer. These skills, which cut across content areas and grade levels and are deeply embedded in current academic standards, separate high achievers from their low-performing peers. Drawing on their deep well of research and experience, the authors - Explore what kind of content is worth having students make meaning about. - Provide practical tools and strategies to help teachers target each of the seven thinking skills in the classroom. - Explain how teachers can incorporate the thinking skills and tools into lesson and unit design. - Show how teachers can build students' capacity to use the strategies independently. If our goal is to prepare students to meet the rigorous demands of school, college, and career, then we must foster their ability to respond to such challenges. This comprehensive, practical guide will enable teachers to engage students in the kind of learning that yields enduring understanding and valuable skills that they can use throughout their lives.
Deep Learning
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Author : Andrew Glassner
language : en
Publisher: No Starch Press
Release Date : 2021-06-22
Deep Learning written by Andrew Glassner and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Computers categories.
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AI Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations