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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 179 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
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
Use the Cloud to Individualize Your Instruction and Watch Your Students Thrive! The advent of cloud-stored data that can be entered, changed, and accessed anywhere is a development full of potential for today’s classroom. This book is the all-in-one resource you need to be sure your students reap the fullest rewards from cloud-based developments. Teacher and top ed-blogger Ken Halla explains: Strategies for leveraging the cloud to create a self-paced, learner-centered classroom How to take advantage of tech tools to facilitate learning Real-life case studies and activities to ensure an enjoyable implementation experience. Stay ahead of the curve with Ken Halla’s strategies, which you can implement the next morning. "Halla′s book, written from practitioner experience, provides practical and simple integration techniques that will assist both novice and experienced teachers incorporate technology to enhance student learning." —Eric Sheninger, author of Digital Leadership, Changing Paradigms for Changing Times "This is a must read--a detailed nuts and bolts guide to classroom tools in the cloud." —Michael B. Horn, Co-Founder and Director, Christensen Institute Author of Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. "Whether you are an ed tech veteran or just getting started, Halla′s book will help you tailor learning to meet the needs of your students. This book will help you create the learner-focused classroom you want to build! A must-have resource for today′s teachers!" —Jaime Casap, Global Education Evangelist Google
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 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use the Cloud to Individualize Your Instruction and Watch Your Students Thrive! The advent of cloud-stored data that can be entered, changed, and accessed anywhere is a development full of potential for today’s classroom. This book is the all-in-one resource you need to be sure your students reap the fullest rewards from cloud-based developments. Teacher and top ed-blogger Ken Halla explains: Strategies for leveraging the cloud to create a self-paced, learner-centered classroom How to take advantage of tech tools to facilitate learning Real-life case studies and activities to ensure an enjoyable implementation experience. Stay ahead of the curve with Ken Halla’s strategies, which you can implement the next morning. "Halla′s book, written from practitioner experience, provides practical and simple integration techniques that will assist both novice and experienced teachers incorporate technology to enhance student learning." —Eric Sheninger, author of Digital Leadership, Changing Paradigms for Changing Times "This is a must read--a detailed nuts and bolts guide to classroom tools in the cloud." —Michael B. Horn, Co-Founder and Director, Christensen Institute Author of Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. "Whether you are an ed tech veteran or just getting started, Halla′s book will help you tailor learning to meet the needs of your students. This book will help you create the learner-focused classroom you want to build! A must-have resource for today′s teachers!" —Jaime Casap, Global Education Evangelist Google
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 : 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 323 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.
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 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.
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 Deep Learning by : Ian Goodfellow
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.
"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 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.
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.
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.
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 Deep Learning by : John D. Kelleher
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.
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 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.
