Download or read book Teaching Machines written by Audrey Watters and published by MIT Press. This book was released on 2023-02-07 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.

Download or read book Teaching Machines written by Bill Ferster and published by JHU Press. This book was released on 2014-11-17 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology promises to make learning better, cheaper, faster—but rarely has it kept that promise. The allure of educational technology is easy to understand. Classroom instruction is an expensive and time-consuming process fraught with contradictory theories and frustratingly uneven results. Educators, inspired by machines’ contributions to modern life, have been using technology to facilitate teaching for centuries. In Teaching Machines, Bill Ferster examines past attempts to automate instruction from the earliest use of the postal service for distance education to the current maelstrom surrounding Massive Open Online Courses. He tells the stories of the entrepreneurs and visionaries who, beginning in the colonial era, developed and promoted various instructional technologies. Ferster touches on a wide range of attempts to enhance the classroom experience with machines, from hornbooks, the Chautauqua movement, and correspondence courses to B. F. Skinner’s teaching machine, intelligent tutoring systems, and eLearning. The famed progressive teachers, researchers, and administrators that the book highlights often overcame substantial hurdles to implement their ideas, but not all of them succeeded in improving the quality of education. Teaching Machines provides invaluable new insight into our current debate over the efficacy of educational technology.

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Download or read book The Technology of Teaching written by B. F. Skinner and published by B. F. Skinner Foundation. This book was released on 2016-04-26 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: On Parent's Day, in 1952, B. F. Skinner visited his daughter's fourth grade math class. As he watched the lesson, he became increasingly uncomfortable. Almost every principle of effective teaching that he had studied for more than 20 years was being violated in that classroom. Yet it was a typical class. The teacher showed how to solve the day's problems, then gave the students a worksheet to do. Some children began to work readily while others shifted uncomfortably in their chairs, or raised their hands for help. The teacher went from desk to desk, giving help and feedback. Skinner knew what was needed. Each student should be given a problem tailored precisely to his or her skill level, not to the class average, and every answer needed to be assessed immediately to determine the next step. The task was clearly impossible for one teacher. That afternoon, Skinner set to work on a teaching machine. Today's computers have made the mechanical machine obsolete, but the principles of how to design instruction in steps that lead from a basic level to competent performance are as valid today as they were in the 20th century. This book brings together Skinner's writings on education during the years he was most involved in improving education.

Download or read book Outside in the Teaching Machine written by Gayatri Chakravorty Spivak and published by Routledge. This book was released on 2012-12-06 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gayatri Chakravorty Spivak is one of the most pre-eminent postcolonial theorists writing today and a scholar of genuinely global reputation. This collection, first published in 1993, presents some of Spivak’s most engaging essays on works of literature such as Salman Rushdie's controversial Satanic Verses, and twentieth century thinkers such as Jacques Derrida and Karl Marx. Spivak relentlessly questions and deconstructs power structures where ever they operate. In doing so, she provides a voice for those who can not speak, proving that the true work of resistance takes place in the margins, Outside in the Teaching Machine.

Download or read book Moral Machines written by Wendell Wallach and published by Oxford University Press. This book was released on 2010-07-15 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Moral Machines is a fine introduction to the emerging field of robot ethics. There is much here that will interest ethicists, philosophers, cognitive scientists, and roboticists." ---Peter Danielson, Notre Dame Philosophical Reviews --

Download or read book Teaching Machines and Programming written by Kenneth Austwick and published by . This book was released on 1964 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaching Machines and Programming covers the significant developments in teaching machines and automated teaching, as well as the major theoretical issues and attributes involved in these procedures. After a brief introduction to teaching machine procedures, this six-chapter text goes on summarizing the industrial and military applications of teaching machines. The succeeding chapters consider the underlying theory, function, and schema of the adaptive teaching system, which are related to recognizable teaching functions performed by a human tutor. The last chapters discuss the development a.

Download or read book Machine Learning written by Peter Flach and published by Cambridge University Press. This book was released on 2012-09-20 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.

Download or read book Introducing CAL written by Keith Hudson and published by Springer. This book was released on 2013-11-11 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is often the case - perhaps more often than not - that new ideas arrive long before there is the me ans to clothe and deli ver them. We can think ofLeonardo da Vinci's drawings of helicopters and submarines among many other examples. Computer-Assisted Learning (CAL) is an example of an idea which has had a particularly long gestation. As I will illustrate early in the book, the principles of CAL were really first discovered by Socrates. As a formal method of teaching, the Socratic method disappeared for over two millennia until the 1950s. It was then revived in the form ofProgrammed Learning (PL) which resulted from the researches ofB. F. Skinner at Harvard University. Even then, PL was premature. In the 1950s and 60s, methods were devised, such as teaching machines and various sorts ofPL text books, and there was a mushrooming of PL publishing at that time. For a complex of reason- economic, logistical and technical-PL also largely disappeared from the mid- 60s, although it continued in a few specialized areas ofteaching and industrial training. However, during the same period, PL quietly transformed itselfinto CAL. But the computerized form was not capable of mass dissemination until recently hecause personal microcomputers did not have sufficient internal memory sizes. That situation has now changed very dramatically and 128K microcomputers are becoming cheap and widely available. Cheap memory chips of256K and 1024K cannot be far away, either.

Download or read book Applied Natural Language Processing in the Enterprise written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2021-05-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production

Download or read book The Flickering Mind written by Todd Oppenheimer and published by Random House. This book was released on 2007-12-18 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Flickering Mind, by National Magazine Award winner Todd Oppenheimer, is a landmark account of the failure of technology to improve our schools and a call for renewed emphasis on what really works. American education faces an unusual moment of crisis. For decades, our schools have been beaten down by a series of curriculum fads, empty crusades for reform, and stingy funding. Now education and political leaders have offered their biggest and most expensive promise ever—the miracle of computers and the Internet—at a cost of approximately $70 billion just during the decade of the 1990s. Computer technology has become so prevalent that it is transforming nearly every corner of the academic world, from our efforts to close the gap between rich and poor, to our hopes for school reform, to our basic methods of developing the human imagination. Technology is also recasting the relationships that schools strike with the business community, changing public beliefs about the demands of tomorrow’s working world, and reframing the nation’s systems for researching, testing, and evaluating achievement. All this change has led to a culture of the flickering mind, and a generation teetering between two possible futures. In one, youngsters have a chance to become confident masters of the tools of their day, to better address the problems of tomorrow. Alternatively, they can become victims of commercial novelties and narrow measures of ability, underscored by misplaced faith in standardized testing. At this point, America’s students can’t even make a fair choice. They are an increasingly distracted lot. Their ability to reason, to listen, to feel empathy, is quite literally flickering. Computers and their attendant technologies did not cause all these problems, but they are quietly accelerating them. In this authoritative and impassioned account of the state of education in America, Todd Oppenheimer shows why it does not have to be this way. Oppenheimer visited dozens of schools nationwide—public and private, urban and rural—to present the compelling tales that frame this book. He consulted with experts, read volumes of studies, and came to strong and persuasive conclusions: that the essentials of learning have been gradually forgotten and that they matter much more than the novelties of technology. He argues that every time we computerize a science class or shut down a music program to pay for new hardware, we lose sight of what our priority should be: “enlightened basics.” Broad in scope and investigative in treatment, The Flickering Mind will not only contribute to a vital public conversation about what our schools can and should be—it will define the debate.

Download or read book Grokking Deep Learning written by Andrew W. Trask and published by Simon and Schuster. This book was released on 2019-01-23 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide

Download or read book The First Book of Teaching Machines written by Sam Epstein and published by . This book was released on 1961 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Brief Illustrated History of Machines and Mechanisms written by Emilio Bautista Paz and published by Springer Science & Business Media. This book was released on 2010-08-02 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machines have always gone hand-in-hand with the cultural development of m- kind throughout time. A book on the history of machines is nothing more than a specific way of bringing light to human events as a whole in order to highlight some significant milestones in the progress of knowledge by a complementary persp- tive into a general historical overview. This book is the result of common efforts and interests by several scholars, teachers, and students on subjects that are connected with the theory of machines and mechanisms. In fact, in this book there is a certain teaching aim in addition to a general historical view that is more addressed to the achievements by “homo faber” than to those by “homo sapiens”, since the proposed history survey has been developed with an engineering approach. The brevity of the text added to the fact that the authors are probably not com- tent to tackle historical studies with the necessary rigor, means the content of the book is inevitably incomplete, but it nevertheless attempts to fulfil three basic aims: First, it is hoped that this book may provide a stimulus to promote interest in the study of technical history within a mechanical engineering context. Few are the co- tries where anything significant is done in this area, which means there is a general lack of knowledge of this common cultural heritage.

Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Download or read book Designing Autonomous AI written by Kence Anderson and published by "O'Reilly Media, Inc.". This book was released on 2022-06-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs

Download or read book The Technology Toolbelt for Teaching written by Susan Manning and published by John Wiley & Sons. This book was released on 2011-01-31 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instructors are under pressure to integrate technology into their traditional or online instruction, but often they aren't sure what to do or why they should do it. The Technology Toolbelt for Teaching offers instructors a down-to-earth guide to common technologies, explains the pedagogical purposes they serve, and shows how they can be used effectively in online or face-to-face classrooms. Designed to be easy to use, the book includes a decision-making matrix for each technology tool: a series of questions that teachers can use to decide whether these tools support their teaching goals. This comprehensive resource contains an array of useful tools that address problems of organization such as a time management calendar, aids for scheduling meetings, and mind-mapping or graphic organizers. The authors also include a variety of online tools for communication and collaboration, and tools to present content, help establish presence, and assess learning. Praise for The Technology Toolbelt for Teaching "Feeling overwhelmed and even afraid of integrating technology into your course? Fear no more! Susan Manning and Kevin Johnson have provided the ultimate guide that explains not only the various technology tools that can support faculty work and enhance coursework but also provides sound advice to help faculty choose the right tool for the job. This is a must-read for all faculty regardless of their experience with technology."—Rena M. Palloff and Keith Pratt, managing partners, Crossroads Consulting Group, and authors, Building Online Learning Communities and Collaborating Online "The Technology Toolbelt for Teaching delivers exactly what it promises: a concrete overview of a wide variety of tools, complete with examples specific to practitioners in both K–12 and higher education. Authors Susan Manning and Kevin Johnson provide practical applications rather than philosophy, and solutions rather than platitudes. This is a must for any teacher working with—or wanting to start working with—technology."—Jane Bozarth, author, Social Media for Trainers; eLearning coordinator, State of North Carolina "Creating compelling learning experiences for students is fraught with decision points. Add one or more technology options to the equation, and the number of directions to take learners seems to grow limitlessly, and can either paralyze the instructional design process or cause us to take on too much. Enter The Technology Toolbelt for Teaching. Manning and Johnson's handy guide – and the decision-making matrix that frames each of the tools it demystifies – is an essential resource for choosing paths wisely."—Jonathan Finkelstein, author, Learning in Real Time; founder and executive producer, LearningTimes Includes 50+ fresh and useful technology tools for teaching A decision matrix for choosing and using the right tools Examples for using each tool in higher education and K–12