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

"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".

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

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 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.

"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.

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.