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Deeper Learning Through Technology
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Book Synopsis Deeper Learning Through Technology by : Ken Halla
Download or read book Deeper Learning Through Technology written by Ken Halla and published by Corwin Press. This book was released on 2015-01-21 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use the Cloud to Individualize Your Instruction and Watch Your Students Thrive! Cloud-based technology offers massive benefits to the classroom. But technology tools require conscientious implementation by educators. This book is the all-in-one resource you need to be sure your students reap the fullest rewards of how cloud-based tools can facilitate learning. In Deeper Learning Through Technology, teacher and top ed-blogger Ken Halla explains: How to implement new tech tools to create a self-paced, learner-centered classroom Strategies for leveraging cloud technology to ensure that students have access to an individualized, personalized education Real-life case studies and activities that will make applying the book’s strategies to your classroom enjoyable and achievable
Book Synopsis Deeper Learning Through Technology by : Ken Halla
Download or read book Deeper Learning Through Technology written by Ken Halla and published by Corwin Press. This book was released on 2015-01-21 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use the Cloud to Individualize Your Instruction and Watch Your Students Thrive! Cloud-based technology offers massive benefits to the classroom. But technology tools require conscientious implementation by educators. This book is the all-in-one resource you need to be sure your students reap the fullest rewards of how cloud-based tools can facilitate learning. In Deeper Learning Through Technology, teacher and top ed-blogger Ken Halla explains: How to implement new tech tools to create a self-paced, learner-centered classroom Strategies for leveraging cloud technology to ensure that students have access to an individualized, personalized education Real-life case studies and activities that will make applying the book’s strategies to your classroom enjoyable and achievable
Book Synopsis Harnessing Technology for Deeper Learning by : Scott McLeod
Download or read book Harnessing Technology for Deeper Learning written by Scott McLeod and published by Solutions for Creating the Lea. This book was released on 2018-09-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "By embracing technology in the classroom instead of ignorning or banning it, every educator can promote deeper learning across all subjects and grade levels. Using the 4 Shifts Protocol, 'Harnessing Technology for Deeper Learning' imparts valuable strategies for avoiding missteps, overcoming implemention challenges, and (re)designing instruction that is both meaningful and engaging".
Book Synopsis Deeper Learning by : James A. Bellanca
Download or read book Deeper Learning written by James A. Bellanca and published by Solution Tree Press. This book was released on 2014-11-14 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education authorities from around the globe explore deeper learning, a process that promotes higher-order thinking, reasoning, and problem solving to better educate students and prepare them for college and careers. Relying on research as well as their own experience, the authors show how to use intensive curriculum, instruction, assessment, and leadership practices to meet the needs of 21st century learners.
Book Synopsis Deeper Learning by : Monica R. Martinez
Download or read book Deeper Learning written by Monica R. Martinez and published by The New Press. This book was released on 2018-06-05 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: The acclaimed exploration of how public education can cultivate innovators—with a foreword by Russlynn Ali, a leading advocate for remaking schools Dime-a-dozen ideas for reforming education seem to be everywhere these days but few actually transform the everyday experience of the 50-million-plus students who are regularly subjected to traditional lecturing, note-taking, and rote learning—often with dismal results. Enter Deeper Learning, "a fast read [that] will interest educators who want to produce self-motivated, passionate learners" (Library Journal). Offering "uplifting" (Kirkus Reviews) anecdotes in what Tom Carroll of the National Commission on Teaching and America's Future calls a "rare blend of inspiration and practical action," Deeper Learning provides a blueprint for creating flexible environments that put students at the helm of their own collaborative learning experience. This paperback edition includes a new foreword by renowned education advocate Russlynn Ali and will empower and inspire educators everywhere to address the need for schools to be genuinely innovative.
Book Synopsis Strategies for Deep Learning with Digital Technology by : Robert Zheng
Download or read book Strategies for Deep Learning with Digital Technology written by Robert Zheng and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to utilize digital technology to engage learners in deep learning is an issue that warrants significant attention in 21st century education. Deep learning refers to learners engagement in critical and creative thinking, making inferences and transferring knowledge. Modern technologies like virtual reality, artificial intelligence, and 3D visualization provide the platform for deep learning in an educational setting more effectively. This book presents a collection of essays on the relationship between digital technologies and deep learning. The edited volume focuses on cognitive, metacognitive and affective processes in digital technology-based deep learning. A unique feature of the book is its emphasis on bridging the theories with practice where the practice of deep learning with digital technology is well-grounded in relevant theories and theoretical frameworks. Moreover, the book includes case studies to effectively promote the application of digital technology in deep learning. As such, the book is rightly poised to address current issues facing deep learning and digital technology in education. The audience will find this book a useful companion as they will soon discover that this book provides helpful information on both theoretical and practical aspects in deep learning with digital technology. It also serves as an excellent resource for researchers and individual professionals who seek to understand the relationship between deep learning and digital technology in education.
Book Synopsis Deep Learning for a Digital Age by : Van B. Weigel
Download or read book Deep Learning for a Digital Age written by Van B. Weigel and published by Jossey-Bass. This book was released on 2001-11-12 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this book, Weigel shows how faculty can help students develop skills in research, problem solving, critical thinking, and knowledge management by using web-based collaboration tools. He outlines a blended, "bricks and clicks" approach to learning that emphasizes cognitive apprenticeship and communities of inquiry. Weigel's vision of "depth education" relies strongly on virtual teams and embedded assessment as a means to cultivate connection between students and educators.
Book Synopsis From Curiosity to Deep Learning by : Julie Coiro
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.
Book Synopsis In Search of Deeper Learning by : Jal Mehta
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.
Book Synopsis The Deep Learning Revolution by : Terrence J. Sejnowski
Download or read book The Deep Learning Revolution written by Terrence J. Sejnowski and published by MIT Press. This book was released on 2018-10-23 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. 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.
Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Book Synopsis Teaching for Deeper Learning by : Jay McTighe
Download or read book Teaching for Deeper Learning written by Jay McTighe and published by ASCD. This book was released on 2020-01-22 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Deep Learning written by John D. Kelleher and published by MIT Press. This book was released on 2019-09-10 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
Book Synopsis Preparing Teachers for Deeper Learning by : Linda Darling-Hammond
Download or read book Preparing Teachers for Deeper Learning written by Linda Darling-Hammond and published by Harvard Education Press. This book was released on 2021-02-08 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preparing Teachers for Deeper Learning answers an urgent call for teachers who educate children from diverse backgrounds to meet the demands of a changing world. In today’s knowledge economy, teachers must prioritize problem-solving ability, adaptability, critical thinking, and the development of interpersonal and collaborative skills over rote memorization and the passive transmission of knowledge. Authors Linda Darling-Hammond and Jeannie Oakes and their colleagues examine what this means for teacher preparation and showcase the work of programs that are educating for deeper learning, equity, and social justice. Guided by the growing knowledge base in the science of learning and development, the book examines teacher preparation programs at Alverno College, Bank Street College of Education, High Tech High’s Intern Program, Montclair State University, San Francisco Teacher Residency, Trinity University, and University of Colorado Denver. These seven programs share a common understanding of how people learn that shape similar innovative practices. With vivid examples of teaching for deeper learning in coursework and classrooms; interviews with faculty, school partners, and novice teachers; surveys of teacher candidates and graduates; and analyses of curriculum and practices, Preparing Teachers for Deeper Learning depicts transformative forms of teaching and teacher preparation that honor and expand all students’ abilities, knowledges, and experiences, and reaffirm the promise of educating for a better world.
Book Synopsis Leadership for Deeper Learning by : Jayson W. Richardson
Download or read book Leadership for Deeper Learning written by Jayson W. Richardson and published by CRC Press. This book was released on 2021-07-27 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exciting book explores how leaders have implemented, sustained, and pushed innovative, deeper learning opportunities in their school settings. Across the United States and around the world, the concept of a school is growing more action-oriented, performance-focused, digitally relevant, and democratically infused. In this book, you’ll hear from real schools and leaders about practices that are changing schools and leading to deeper learning experiences across seven categories of innovative practice—including vision, agency in learning, trust in teachers, openness to new ideas, over-communicating change, equity mindedness, and courage to live outside norms. Leadership for Deeper Learning looks at how school leaders change the status quo and create different learning environments for students and teachers. Rich in stories and strategies, this book will provide you with the ideas and tools to rethink and reignite learning for the future.
Book Synopsis Assessing Deeper Learning by : Douglas G. Wren
Download or read book Assessing Deeper Learning written by Douglas G. Wren and published by Rowman & Littlefield. This book was released on 2019-08-01 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deeper learning has been defined as “the skills and knowledge that students must possess to succeed in 21st century jobs and civic life” (William and Flora Hewlett Foundation, 2013). Assessing Deeper Learning: Developing, Implementing, and Scoring Performance Tasks examines the role of performance assessment to facilitate student attainment of the core competencies of deeper learning. The book details a journey that a large school district undertook to create a system of performance tasks designed to assess students’ proficiency in critical thinking, problem solving, and effective communication. Chapters devoted to the development and implementation of the district’s high-quality performance tasks and rubrics highlight successes and lessons learned during the journey. Additional chapters focus on such topics as types of performance assessments, instructional methods that promote student engagement and deeper learning, policy, and how teacher leaders can drive this innovation to serve the teaching, learning, assessment, and accountability needs of schools. Assessing Deeper Learning: Developing, Implementing, and Scoring Performance Tasks was written for teachers, administrators, superintendents, and policy makers to better understand the challenges and opportunities afforded by using performance assessment to promote deeper learning.
Book Synopsis Disruptive Classroom Technologies by : Sonny Magana
Download or read book Disruptive Classroom Technologies written by Sonny Magana and published by Corwin Press. This book was released on 2017-05-04 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ensure your technological integration is leading to deeper learning! Have we developed, at considerable cost and effort, classrooms that are digitally rich but innovation poor? Timely and powerful, this book offers a new framework to elevate instructional practices with technology and maximize student learning. The T3 Framework helps categorize students’ learning as translational, transformational, or transcendent, sorting through the low-impact applications to reach high-impact usage. Teachers and leaders will find: Examples of technology use at the translational, transformational, and transcendent levels Activities, guides, and prompts for deeper learning Evaluative rubrics to self-assess current technology use, establish meaningful goals, and track progress This guide helps teachers and leaders realize the potential of modern teaching and learning tools to unleash students’ passion for limitless learning. "We need to build collaborative communities of students using the social media aspects of technology to change classroom conversations from monologue to dialogue, increasing student impact questions, and allowing errors. This is the core of Magana’s claims, and how we’ll see technology really make the difference we’re after!" —John Hattie, Laureate Professor, Deputy Dean of MGSE, Director of the Melbourne Education Research Institute "Fresh, innovative, and revolutionary, Magana′s T3 Framework promises to challenge the status quo and invite disruptive practices in educational technology." —Yong Zhao Author, World Class Learners "The T3 Framework is a brilliant breakthrough in our understanding and use of technology for learning." —Michael Fullan, Professor Emeritus OISE/University of Toronto, Canada
