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Author: Van B. Weigel Publisher: Jossey-Bass ISBN: Category : Education Languages : en Pages : 200
Book Description
"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.
Author: Van B. Weigel Publisher: Jossey-Bass ISBN: Category : Education Languages : en Pages : 200
Book Description
"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.
Author: Michael Fullan Publisher: Corwin Press ISBN: 150636859X Category : Education Languages : en Pages : 209
Book Description
New Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation. Using the 6 competencies of NDPL and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for revolutionizing learning and leadership.
Author: Robert Zheng Publisher: ISBN: 9781536131826 Category : Education Languages : en Pages : 0
Book Description
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.
Author: Ian Goodfellow Publisher: MIT Press ISBN: 0262337371 Category : Computers Languages : en Pages : 801
Book Description
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.
Author: James Paul Gee Publisher: Routledge ISBN: 1136825665 Category : Education Languages : en Pages : 168
Book Description
In Language and Learning in the Digital Age, linguist James Paul Gee and educator Elisabeth Hayes deal with the forces unleashed by today’s digital media, forces that are transforming language and learning for good and ill. They argue that the role of oral language is almost always entirely misunderstood in debates about digital media. Like the earlier inventions of writing and print, digital media actually power up or enhance the powers of oral language. Gee and Hayes deal, as well, with current digital transformations of language and literacy in the context of a growing crisis in traditional schooling in developed countries. With the advent of new forms of digital media, children are increasingly drawn towards video games, social media, and alternative ways of learning. Gee and Hayes explore the way in which these alternative methods of learning can be a force for a paradigm change in schooling. This is an engaging, accessible read both for undergraduate and graduate students and for scholars in language, linguistics, education, media and communication studies.
Author: Andrew Glassner Publisher: No Starch Press ISBN: 1718500734 Category : Computers Languages : en Pages : 1239
Book Description
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AI Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations
Author: Sathiyamoorthi Velayutham Publisher: IGI Global, Engineering Science Reference ISBN: 9781522599050 Category : Computers Languages : en Pages : 0
Book Description
"This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--
Author: Paloma Díaz Publisher: Springer ISBN: 9811382654 Category : Education Languages : en Pages : 339
Book Description
This book aims at guiding the educators from a variety of available technologies to support learning and teaching by discussing the learning benefits and the challenges that interactive technology imposes. This guidance is based on practical experiences gathered through developing and integrating them into varied educational settings. It compiles experiences gained with various interactive technologies, offering a comprehensive perspective on the use and potential value of interactive technologies to support learning and teaching. Taken together, the chapters provide a broader view that does not focus exclusively on the uses of technology in educational settings, but also on the impact and ability of technology to improve the learning and teaching processes. The book addresses the needs of researchers, educators and other stakeholders in the area of education interested in learning how interactive technologies can be used to overcome key educational challenges.
Author: Mehmet Metin Ozguven Publisher: CRC Press ISBN: 1000826112 Category : Science Languages : en Pages : 307
Book Description
The Digital Age in Agriculture presents information related to the digital age in the agriculture sector. Agriculture is an essential activity for the continuity of life, yet is very labor-intensive and faces a wide variety of challenges. In the struggle against these difficulties, the superior features offered by technology provide important benefits. These technologies require expertise in various technical disciplines, and The Digital Age in Agriculture provides information to readers allowing them to make more informed decisions and giving them the opportunity to improve agricultural productivity. Written by Mehmet Metin Özgüven, an expert who has conducted field studies and with a working technical knowledge of various topics pertaining to the agriculture age, this book covers many subjects important to the age of digital agriculture, including precision agriculture and livestock farming, using agricultural robots and unmanned arial vehicles in agriculture practices, and image processing and machine vision. It is an essential read for researchers, agriculture sector workers, and agricultural engineers.
Author: Christiane Lütge Publisher: Routledge ISBN: 1000512436 Category : Education Languages : en Pages : 320
Book Description
Foreign Language Learning in the Digital Age addresses the growing significance of diversifying media in contemporary society and expands on current discourses that have formulated media and a multitude of literacies as integral objectives in 21st-century education. The book engages with epistemological and critical foundations of multiliteracies and related pedagogies for foreign language-learning contexts. It includes a discussion of how multimodal and digital media impact meaning-making practices in learning, the inherent potentials and challenges that are foregrounded in the use of multimodal and digital media and the contribution that (foreign) language education can provide in developing multiliteracies. The volume additionally addresses foreign language education across the formal educational spectrum: from primary education to adult and teacher education. This multifaceted volume presents the scope of media and literacies for foreign language education in the digital age and examples of best practice for working with media in formal language learning contexts. This book will be of great interest to academics, researchers, and post-graduate students in the fields of language teaching and learning, digital education, media education, applied linguistics and TESOL.
Author: Van B. Weigel
Author: Van B. Weigel
Author: Michael Fullan
Author: Robert Zheng
Author: Ian Goodfellow
Author: James Paul Gee
Author: Andrew Glassner
Author: Sathiyamoorthi Velayutham
Author: Paloma Díaz
Author: Mehmet Metin Ozguven
Author: Christiane Lütge