After billions of dollars, thousands of studies, and immeasurable effort by educators at all levels, why is the performance of students and teachers so unaffected by technology? Moreover, what should be done to extract genuine benefit from the information and communication technology (ICT) revolution? In this groundbreaking book, technology and education experts Alan Bain and Mark Weston provide research-based evidence for how the widespread application of ICT can provide powerful learning opportunities that lead to lasting gains and achievement. They show how the integrated use of technology at all levels of the educational system can greatly expand collaborative learning opportunities by giving all educational stakeholders powerful problem-solving tools and solutions. The approaches presented here are grounded in over twenty years of experience working with classroom teachers, school leaders, association members, and policymakers.

Explains where the best learning occurs, discloses what managers must learn to add value to their organization, and presents a five-step process for 'becoming your best at work'

This is the book for anyone who embraces growth and learning as an individual and as a workplace colleague. You'll find an introspective view of personal development and an insightful foray into the potential for influencing groups. This book offers research-based tools and templates to guide the journey towards becoming one's best self

Engage and teach your team wherever and whenever—from one of the world's leading e-learning authorities. The digital electronics revolution keeps us connected with almost anyone around the world and makes information available anywhere, at anytime. In the workplace, the impact has been great, propelling mobile learning to the forefront of training and education. Dr. Gary Woodill, a senior analyst at a leading e-learning research firm shows you how mobile learning is evolving, and how organizations can use it more efficiently and effectively--with companies reaping the rewards of increased communication, teamwork, productivity and profitability. Learn how to break free from the old notions of training and development with the concrete strategies in The Mobile Learning Edge and Become skilled in the seven principles of successfully training employees on the move Implement new learning programs that employees can access anywhere Develop a future mobile learning strategy in an ever-changing environment Discover what might be the right kind of mobile technologies for your company With The Mobile Learning Edge you'll go beyond applications and content and be able to create engaging and productive mobile learning for your team. According to a recent study, there's one mobile device for every two people in the world, and the technology making these devices smarter and more connected is improving almost daily. The real revolution is that mobile learning releases learners from the classroom where they are immobilized, and allows them to learn at "anytime, anyplace." In The Mobile Learning Edge, Dr. Gary Woodill outlines the most effective methodologies for training and engaging employees on the move and takes the person out of the classroom, while keeping learners connected to the information they need at all times. The Mobile Learning Edge features: Information on the social media and enabled devices that can serve your mobile learning Concrete strategies for how your business can use mobile learning to train, educate, and instruct employees anywhere Pointers on information gathering and analysis on the fly Innovative ideas for creating effective mobile learning experiences Comprehensive strategies for anticipating future mobile learning needs and developments You'll find a wealth of information about the history of this emerging field, retrieving information, methods for learning, applications, uses, and experiences--and how to put it all together to build a mobile learning system that’s right for your team. Using case studies, Woodill shows how you can emulate the successes of corporations like Nike, Accenture, and Merrill Lynch in using micro-blogging, cloud computing, mobile gaming, intermodal mashups, virtual worlds, collective intelligence, and other mobile learning platforms to take your business's recruitment, training, communication, and collaboration functions to the next level.

Improve the quality of organizational learning in your school and address how current demands for rapid change and accountability contribute to levels of fear and stress. The author draws on educational, psychological, and neuroscientific research to show how leaders can change the prevailing emotional climate or tone of a school to promote deeper learning at all levels.

To compete with today's increasing globalization and rapidly evolving technologies, individuals and organizations must take their ability to learn—the foundation for continuous improvement, operational excellence, and innovation—to a much higher level. In Learn or Die, Edward D. Hess combines recent advances in neuroscience, psychology, behavioral economics, and education with key research on high-performance businesses to create an actionable blueprint for becoming a leading-edge learning organization. Learn or Die examines the process of learning from an individual and an organizational standpoint. From an individual perspective, the book discusses the cognitive, emotional, motivational, attitudinal, and behavioral factors that promote better learning. Organizationally, Learn or Die focuses on the kinds of structures, culture, leadership, employee learning behaviors, and human resource policies that are necessary to create an environment that enables critical and innovative thinking, learning conversations, and collaboration. The volume also provides strategies to mitigate the reality that humans can be reflexive, lazy thinkers who seek confirmation of what they believe to be true and affirmation of their self-image. Exemplar learning organizations discussed include the secretive Bridgewater Associates, LP; Intuit, Inc.; United Parcel Service (UPS); W. L. Gore & Associates; and IDEO.

Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

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

Beginning with an autobiographical journey through his disappointing experiences with faith and learning, both in his student and professorial career in Christian colleges, David Claerbaut addresses the issues of faith and learning in higher education.