Learning in the Cloud
Learning in the Cloud

Author: Mark Warschauer

Publisher: Teachers College Press

Published: 2015-04-17

Total Pages: 145

ISBN-13: 0807770841

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This comprehensive and cutting-edge book portrays a vision of how digital media can help transform schools, and what kinds of curriculum pedagogy, assessment, infrastructure, and learning environments are necessary for the transformation to take place. The author and his research team spent thousands of hours observing classes and interviewing teachers and students in both successful and unsuccessful technology-rich schools throughout the United States and other countries. Featuring lessons learned as well as analysis of the most up-to-date research, they offer a welcome response to simplistic approaches that either deny the potential of technology or exaggerate its ability to reform education simply by its presence in schools. Challenging conventional wisdom about technology and education, Learning in the Cloud: critically examines concepts such as the "digital divide," "21st-century skills," and "guide on the side" for assessing and guiding efforts to improve schools; combines a compelling vision of technology's potential to transform learning with an insightful analysis of the curricular challenges required for meaningful change; and discusses the most recent trends in media and learning, such as the potential of tablets and e-reading.

The School in the Cloud
The School in the Cloud

Author: Sugata Mitra

Publisher: Corwin

Published: 2019-08-14

Total Pages: 225

ISBN-13: 150638918X

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The Science and the Story of the Future of Learning Educators have been trying to harness the "promise" of technology in education for decades, to no avail, but we have learned that children in groups—when given access to the Internet—can learn anything by themselves. In this groundbreaking book, you’ll glimpse the emerging future of learning with technology. It turns out the promise isn’t in the technology itself; it’s in the self-directed learning of the children who use it. In 1999, Sugata Mitra conducted the famous "Hole in the Wall" experiment that inspired three TED Talks and earned him the first million-dollar TED prize for research in 2013. Since then, he has conducted new research around self-organized learning environments (SOLE), building "Schools in the Cloud" all over the world. This new book shares the results of this research and offers • Examples of thriving Schools in the Cloud in unlikely places • Mitra’s predictions on the future of learning • How to design assessments for self-organizing learning • How to build your own School in the Cloud • Clips from the documentary, The School in the Cloud Discover the future of learning by digging deep into Mitra’s thought-provoking experiences, examples, and vision.

Little Cloud
Little Cloud

Author: Eric Carle

Publisher: Penguin

Published: 2020-07-28

Total Pages: 32

ISBN-13: 0593383834

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The clouds drift across the bright blue sky--all except one. Little Cloud trails behind. He is busy changing shapes to become a fluffy sheep, a zooming airplane, and even a clown with a funny hat. Eric Carle's trademark collages will make every reader want to run outside and discover their very own little cloud.

Wayside School Beneath the Cloud of Doom
Wayside School Beneath the Cloud of Doom

Author: Louis Sachar

Publisher: HarperCollins

Published: 2020-03-03

Total Pages: 146

ISBN-13: 0062965425

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Wayside School is back in session in this brand-new, fourth installment in the perennially beloved and bestselling series by Newbery Medal-winning author Louis Sachar. Your favorite students and teachers are all here. That includes Sharie, who loves her striped-and-spotted umbrella more than anything; Kathy, who has a bad case of oppositosis; Jason, who has to read the longest book in the world; and the rest of Mrs. Jewls’s class on the thirtieth floor, who are busily collecting toenail clippings. Everyone is scrambling to prepare for the all-important Ultimate Test, but meanwhile, there is a mysterious Cloud of Doom looming above them… More than fifteen million readers have laughed at the clever and hilarious stories of Wayside School. So what are you waiting for? Come visit Wayside School! Kids 7 to 13 will zoom through these chapter books—laughing their way through the fast, funny, silly but relatable stories. This funny chapter book series includes: Sideways Stories from Wayside School Wayside School Is Falling Down Wayside School Gets a Little Stranger And now also Wayside School Beneath the Cloud of Doom, the brand-new, fourth installment in the series, and the first in twenty-five years!

UDL in the Cloud
UDL in the Cloud

Author: Katie Novak

Publisher: CAST Professional Publishing

Published: 2015-06

Total Pages: 0

ISBN-13: 9780989867481

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This book helps educators design and deliver more accessible, engaging, and effective online learning experiences. The authors offer a highly practical approach to developing e-courses, virtual snow days, flipped classes, and blended learning experiences that meet the needs of diverse learners.

Introduction to Machine Learning in the Cloud with Python
Introduction to Machine Learning in the Cloud with Python

Author: Pramod Gupta

Publisher: Springer Nature

Published: 2021-04-28

Total Pages: 284

ISBN-13: 3030712702

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This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2021-01-25

Total Pages: 2700

ISBN-13: 1799853403

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Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.

Practical Deep Learning for Cloud, Mobile, and Edge
Practical Deep Learning for Cloud, Mobile, and Edge

Author: Anirudh Koul

Publisher: "O'Reilly Media, Inc."

Published: 2019-10-14

Total Pages: 585

ISBN-13: 1492034819

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Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users