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Personalized Deeper Learning


Personalized Deeper Learning
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Personalized Deeper Learning


Personalized Deeper Learning
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Author : James A. Bellanca
language : en
Publisher: Solution Tree Press
Release Date : 2020-12-30

Personalized Deeper Learning written by James A. Bellanca and has been published by Solution Tree Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-30 with Education categories.


Access simple yet powerful personalized learning plans that any teacher--regardless of grade, existing curriculum, or student load--can adapt, scale, and sustain. Achieve deep learning with teaching strategies that foster students' cognitive, digital, and social-emotional learning (SEL) skills. Use this how-to guide to plan and implement deep learning outcomes: Explore the three critical skill sets needed to thrive in the 21st century: (1) complex cognitive, (2) social-emotional, and (3) digital. Learn how to foster a trusting learning environment that enhances student engagement. Understand how digital-management tools, electronic templates, and websites can help transform the classroom into a place where students experience deeper learning. Observe numerous classroom examples of personalized deeper learning at the elementary and secondary levels. Study specific teaching strategies to enhance learning transfer. Contents: Introduction Chapter 1: Personalized Learning Plans Chapter 2: Engagement Chapter 3: Outcomes-Driven Instruction and Assessment Chapter 4: Student Agency Chapter 5: Skill Transfer Chapter 6: The Complex Cognition Skill Set Chapter 7: The Social-Emotional Skill Set Chapter 8: The Digital Skill Set Conclusion: Personalized Deeper Learning for a Lifetime Appendix: Templates



Personalized Deeper Learning


Personalized Deeper Learning
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Author : James A. Bellanca
language : en
Publisher:
Release Date : 2020

Personalized Deeper Learning written by James A. Bellanca and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Individualized instruction categories.


Access simple yet powerful personalized learning plans that any teacher--regardless of grade, existing curriculum, or student load--can adapt, scale, and sustain. Achieve deep learning with teaching strategies that foster students' cognitive, digital, and social-emotional learning (SEL) skills. Use this how-to guide to plan and implement deep learning outcomes: Explore the three critical skill sets needed to thrive in the 21st century: (1) complex cognitive, (2) social-emotional, and (3) digital. Learn how to foster a trusting learning environment that enhances student engagement. Understand how digital-management tools, electronic templates, and websites can help transform the classroom into a place where students experience deeper learning. Observe numerous classroom examples of personalized deeper learning at the elementary and secondary levels. Study specific teaching strategies to enhance learning transfer. Contents: Introduction Chapter 1: Personalized Learning Plans Chapter 2: Engagement Chapter 3: Outcomes-Driven Instruction and Assessment Chapter 4: Student Agency Chapter 5: Skill Transfer Chapter 6: The Complex Cognition Skill Set Chapter 7: The Social-Emotional Skill Set Chapter 8: The Digital Skill Set Conclusion: Personalized Deeper Learning for a Lifetime Appendix: Templates



How To Personalize Learning


How To Personalize Learning
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Author : Barbara Bray
language : en
Publisher: Corwin Press
Release Date : 2016-09-29

How To Personalize Learning written by Barbara Bray and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-29 with Education categories.


HOW to Personalize Learning Create a powerful shift in education by building a culture of learning so every learner is valued. This practical follow-up to Bray and McClaskey’s first book brings theory to practice. Discover how to build a shared vision that supports personalized learning using the Universal Design for Learning (UDL) framework. Also included are: Tools and templates to get started and go deeper Lesson and project examples that show how teachers can change instructional practice Links to electronic versions of tools, templates, activities, and checklists



Deeper Learning


Deeper Learning
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Author : Hang Hu
language : en
Publisher: Routledge
Release Date : 2022-04-19

Deeper Learning written by Hang Hu and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-19 with Computers categories.


Integrating brain science, cognitive psychology, education and information technology, the books studies how technology has promoted deeper learning on mathematics in Chinese primary schools. After introducing the theoretical basis, connotation and mechanism of deeper learning, the author fully explains its practice, including the composition of deeper learning teaching content, the development of digital resources, classroom teaching technology and teachers' professional development of deeper learning. He especially adopts multiple and interdisciplinary research methods, such as deeper learning "triangle evidence" paradigm, learning brain observation, education big data analysis, artificial intelligence education analysis, education action, and qualitative and quantitative research. On one hand, the book will give researchers of learning theory and pedagogy an in-depth understanding of what deeper learning is and why it provides a systematic theoretical system; on the other hand, it will also provide school practitioners with operational methods and cases to learn from.



Deep Learning With Jax


Deep Learning With Jax
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Author : Grigory Sapunov
language : en
Publisher: Simon and Schuster
Release Date : 2024-12-03

Deep Learning With Jax written by Grigory Sapunov and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-03 with Computers categories.


Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to: • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax • Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. About the technology Google’s JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you’ll discover how JAX’s unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You’ll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX’s functional programming mindset improves composability and parallelization. What's inside • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax About the reader For intermediate Python programmers who are familiar with deep learning. About the author Grigory Sapunov holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning. The technical editor on this book was Nicholas McGreivy. Table of Contents Part 1 1 When and why to use JAX 2 Your first program in JAX Part 2 3 Working with arrays 4 Calculating gradients 5 Compiling your code 6 Vectorizing your code 7 Parallelizing your computations 8 Using tensor sharding 9 Random numbers in JAX 10 Working with pytrees Part 3 11 Higher-level neural network libraries 12 Other members of the JAX ecosystem A Installing JAX B Using Google Colab C Using Google Cloud TPUs D Experimental parallelization



Distributing Leadership For Personalizing Learning


Distributing Leadership For Personalizing Learning
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Author : Ron Ritchie
language : en
Publisher: Network Continuum Education
Release Date : 2007-12-30

Distributing Leadership For Personalizing Learning written by Ron Ritchie and has been published by Network Continuum Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-30 with Education categories.


The key idea of the book will be that an effective means of implementing personalizing learning is to adopt distributed approaches to school leadership.



From Curiosity To Deep Learning


From Curiosity To Deep Learning
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Author : Julie Coiro
language : en
Publisher: Routledge
Release Date : 2019

From Curiosity To Deep Learning written by Julie Coiro and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.


"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.



Harnessing Technology For Deeper Learning


Harnessing Technology For Deeper Learning
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Author : Scott McLeod
language : en
Publisher: Solution Tree Press
Release Date : 2018-09-21

Harnessing Technology For Deeper Learning written by Scott McLeod and has been published by Solution Tree Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-21 with Education categories.


Reshape educational technology integration in classrooms to build truly transformative learning spaces. This concise, reader-friendly guide outlines a clear approach for properly and skillfully using digital learning tools to promote deeper, personalized learning across subjects and grade levels. The authors impart tips and strategies for avoiding common missteps, overcoming implementation challenges, and redesigning instruction that is both meaningful and engaging. This quick guide will help you integrate educational technology in the classroom and create digital learning spaces: Consider the challenge educators face when integrating technology in the classroom and current technology-integration frameworks, such as SAMR, RAT, and TPACK. Discover how to create a successful digital learning space or environment that encourages academic growth. Explore the authors' 4 Shifts Protocol (formerly trudacot), which focuses on the four big shifts that schools are making toward (1) deeper thinking and learning, (2) authentic work, (3) student agency and personalized learning, and (4) technology infusion. Learn how the 4 Shifts Protocol can help teachers adjust and improve their current lessons and activities. Study specific scenarios on how to utilize the 4 Shifts Protocol across multiple subjects and grade levels. Contents: About the Authors Foreword Introduction: Framing the Challenge Chapter 1: Seeking a New Approach Chapter 2: Introducing the 4 Shifts Protocol Chapter 3: Redesigning Elementary School Lessons and Units Chapter 4: Redesigning Secondary Lessons and Units Chapter 5: Designing From Standards Chapter 6: Implementing the Protocol -- Tips, Strategies, and Other Suggestions Epilogue: Staying in Touch References and Resources Books in the Solutions for Creating the Learning Spaces Students Deserve series: Embracing a Culture of Joy Creating a Culture of Feedback Reimagining Literacy Through Global Collaboration Making Learning Flow Different Schools for a Different World Personalizing Learning Through Voice and Choice Harnessing Technology for Deeper Learning



Learning Science Theory Research And Practice


Learning Science Theory Research And Practice
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Author : Robert S. Feldman
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-08-09

Learning Science Theory Research And Practice written by Robert S. Feldman and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-09 with Education categories.


Cutting-edge insights and perspectives from today’s leading minds in the field of learning science The discipline of learning science is fast becoming a primary approach for answering one of the most important questions of our time: How do we most effectively educate students to reach their full potential? Spanning the disciplines of psychology, data science, cognitive science, sociology, and anthropology, Learning Science offers solutions to our most urgent educational challenges. Composed of insightful essays from top figures in their respective fields, the book also shows how a thorough understanding of this critical discipline all but ensures better decision making when it comes to education. Chapters include: • Exploring Student Interactions in Collaborative Problem-Solving with a Multimodal Approach • Learning Science Research Through a Social Science Lens • Semantic Representation & Analysis and its Application in Conversation-based Intelligent Tutoring Systems • Advancing the Relationship Between Learning Sciences and Teaching Practice • Advancing the State of Online Learning: Stay Integrated, Stay Accessible, Stay Curious • Designing Immersive Authentic Simulations that Enhance Motivation and Learning • High School OER STEM Lessons Leading to Deep Learning, For Students and Teachers • How to Increase Learning While Not Decreasing the Fun in Educational Games Whether you’re creating curricula, developing policies, or educating students in a classroom setting, Learning Science delivers the knowledge, insight, and inspiration you need to do your part to ensure every student meets his or her full potential.



Personalised Learning


Personalised Learning
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Author : Mark Webster
language : en
Publisher:
Release Date : 2008

Personalised Learning written by Mark Webster and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Education categories.


Personalised learning is an idea which puts the learner in the driving seat. Learners, whether individually or in groups, make informed choices about their learning programmes. This book addresses issues of key importance to all learners and educators: from schools to home-based settings to community and adult learning.