From Curiosity To Deep Learning

Author : Julie Coiro
Publisher :
ISBN 13 : 1625311567
Total Pages : 255 pages
Book Rating : 4.66/5 ( download)

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Download or read book From Curiosity to Deep Learning written by Julie Coiro and published by . This book was released on 2019 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Author : Wendy L. Ostroff
Publisher : ASCD
ISBN 13 : 1416621997
Total Pages : 192 pages
Book Rating : 4.97/5 ( download)

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Download or read book Cultivating Curiosity in K-12 Classrooms written by Wendy L. Ostroff and published by ASCD. This book was released on 2016 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how teachers can create a structured, student-centered environment that allows for openness and surprise, and where inquiry guides authentic learning. Strategies for fostering student curiosity through exploration, novelty, and play; questioning and critical thinking; and experimenting and problem solving are also provided.

Author : Julie Coiro
Publisher : Taylor & Francis
ISBN 13 : 1003843506
Total Pages : 386 pages
Book Rating : 4.04/5 ( download)

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Download or read book From Curiosity to Deep Learning written by Julie Coiro and published by Taylor & Francis. This book was released on 2023-10-10 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Doreen Gehry Nelson
Publisher : John Wiley & Sons
ISBN 13 : 1119824168
Total Pages : 342 pages
Book Rating : 4.69/5 ( download)

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Download or read book Cultivating Curiosity written by Doreen Gehry Nelson and published by John Wiley & Sons. This book was released on 2021-09-28 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Wendy L. Ostroff
Publisher : ASCD
ISBN 13 : 1416621970
Total Pages : 192 pages
Book Rating : 4.73/5 ( download)

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Download or read book Cultivating Curiosity in K–12 Classrooms written by Wendy L. Ostroff and published by ASCD. This book was released on 2016-07-13 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ken Bain
Publisher : Harvard University Press
ISBN 13 : 0674070380
Total Pages : 300 pages
Book Rating : 4.87/5 ( download)

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Download or read book What the Best College Students Do written by Ken Bain and published by Harvard University Press. This book was released on 2012-08-27 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author of the best-selling What the Best College Teachers Do is back with more humane, doable, and inspiring help, this time for students who want to get the most out of college—and every other educational enterprise, too. The first thing they should do? Think beyond the transcript. The creative, successful people profiled in this book—college graduates who went on to change the world we live in—aimed higher than straight A’s. They used their four years to cultivate habits of thought that would enable them to grow and adapt throughout their lives. Combining academic research on learning and motivation with insights drawn from interviews with people who have won Nobel Prizes, Emmys, fame, or the admiration of people in their field, Ken Bain identifies the key attitudes that distinguished the best college students from their peers. These individuals started out with the belief that intelligence and ability are expandable, not fixed. This led them to make connections across disciplines, to develop a “meta-cognitive” understanding of their own ways of thinking, and to find ways to negotiate ill-structured problems rather than simply looking for right answers. Intrinsically motivated by their own sense of purpose, they were not demoralized by failure nor overly impressed with conventional notions of success. These movers and shakers didn’t achieve success by making success their goal. For them, it was a byproduct of following their intellectual curiosity, solving useful problems, and taking risks in order to learn and grow.

Author : Tommaso Teofili
Publisher : Simon and Schuster
ISBN 13 : 1638356270
Total Pages : 483 pages
Book Rating : 4.71/5 ( download)

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Download or read book Deep Learning for Search written by Tommaso Teofili and published by Simon and Schuster. This book was released on 2019-06-02 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on! Foreword by Chris Mattmann. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning handles the toughest search challenges, including imprecise search terms, badly indexed data, and retrieving images with minimal metadata. And with modern tools like DL4J and TensorFlow, you can apply powerful DL techniques without a deep background in data science or natural language processing (NLP). This book will show you how. About the Book Deep Learning for Search teaches you to improve your search results with neural networks. You'll review how DL relates to search basics like indexing and ranking. Then, you'll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you'll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn! What's inside Accurate and relevant rankings Searching across languages Content-based image search Search with recommendations About the Reader For developers comfortable with Java or a similar language and search basics. No experience with deep learning or NLP needed. About the Author Tommaso Teofili is a software engineer with a passion for open source and machine learning. As a member of the Apache Software Foundation, he contributes to a number of open source projects, ranging from topics like information retrieval (such as Lucene and Solr) to natural language processing and machine translation (including OpenNLP, Joshua, and UIMA). He currently works at Adobe, developing search and indexing infrastructure components, and researching the areas of natural language processing, information retrieval, and deep learning. He has presented search and machine learning talks at conferences including BerlinBuzzwords, International Conference on Computational Science, ApacheCon, EclipseCon, and others. You can find him on Twitter at @tteofili. Table of Contents PART 1 - SEARCH MEETS DEEP LEARNING Neural search Generating synonyms PART 2 - THROWING NEURAL NETS AT A SEARCH ENGINE From plain retrieval to text generation More-sensitive query suggestions Ranking search results with word embeddings Document embeddings for rankings and recommendations PART 3 - ONE STEP BEYOND Searching across languages Content-based image search A peek at performance

Author : Jal Mehta
Publisher : Harvard University Press
ISBN 13 : 0674988396
Total Pages : 465 pages
Book Rating : 4.92/5 ( download)

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Download or read book In Search of Deeper Learning written by Jal Mehta and published by Harvard University Press. This book was released on 2019-04-22 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The best book on high school dynamics I have ever read."--Jay Mathews, Washington Post An award-winning professor and an accomplished educator take us beyond the hype of reform and inside some of America's most innovative classrooms to show what is working--and what isn't--in our schools. What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms--places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at thirty different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule. And yet they find pockets of powerful learning at almost every school, often in electives and extracurriculars as well as in a few mold-breaking academic courses. These spaces achieve depth, the authors argue, because they emphasize purpose and choice, cultivate community, and draw on powerful traditions of apprenticeship. These outliers suggest that it is difficult but possible for schools and classrooms to achieve the integrations that support deep learning: rigor with joy, precision with play, mastery with identity and creativity. This boldly humanistic book offers a rich account of what education can be. The first panoramic study of American public high schools since the 1980s, In Search of Deeper Learning lays out a new vision for American education--one that will set the agenda for schools of the future.

Author : Michael Fullan
Publisher : Corwin Press
ISBN 13 : 150636859X
Total Pages : 209 pages
Book Rating : 4.97/5 ( download)

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Download or read book Deep Learning written by Michael Fullan and published by Corwin Press. This book was released on 2017-11-06 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: New Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation. Using the 6 competencies of NDPL and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for revolutionizing learning and leadership.

Author : Andrew Glassner
Publisher : No Starch Press
ISBN 13 : 1718500734
Total Pages : 1239 pages
Book Rating : 4.30/5 ( download)

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Download or read book Deep Learning written by Andrew Glassner and published by No Starch Press. This book was released on 2021-06-22 with total page 1239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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