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Author: Audrey Watters
Publisher: MIT Press
ISBN: 026254606X
Category : Education
Languages : en
Pages : 325
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Book Description
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.
Author: Audrey Watters
Publisher: MIT Press
ISBN: 026254606X
Category : Education
Languages : en
Pages : 325
Get Book Here
Book Description
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.
Author: Gary A. Donahue
Publisher: "O'Reilly Media, Inc."
ISBN: 1449309356
Category :
Languages : en
Pages : 788
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Book Description
Pick up where certification exams leave off. With this practical, in-depth guide to the entire network infrastructure, you’ll learn how to deal with real Cisco networks, rather than the hypothetical situations presented on exams like the CCNA. Network Warrior takes you step by step through the world of routers, switches, firewalls, and other technologies based on the author's extensive field experience. You'll find new content for MPLS, IPv6, VoIP, and wireless in this completely revised second edition, along with examples of Cisco Nexus 5000 and 7000 switches throughout. Topics include: An in-depth view of routers and routing Switching, using Cisco Catalyst and Nexus switches as examples SOHO VoIP and SOHO wireless access point design and configuration Introduction to IPv6 with configuration examples Telecom technologies in the data-networking world, including T1, DS3, frame relay, and MPLS Security, firewall theory, and configuration, as well as ACL and authentication Quality of Service (QoS), with an emphasis on low-latency queuing (LLQ) IP address allocation, Network Time Protocol (NTP), and device failures
Author: Chris Brown
Publisher: Routledge
ISBN: 1351996975
Category : Education
Languages : en
Pages : 286
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Book Description
Educational researchers, policy-makers and practitioners are increasingly focusing their attention on Professional Learning Networks in order to facilitate teacher development and encourage school and school system improvement. However, despite the understanding that PLNs can contribute significantly to improving teaching practice and student achievement, there are key challenges regarding their use. These challenges include: ensuring PLNs can provide opportunities for generating and sharing knowledge within schools enabling teachers and professionals to direct their own development helping individuals change their practices through inquiry-led approaches facilitating partnerships which work across a variety of stakeholders In this new edited volume, Brown and Poortman evaluate these challenges from both a theoretical and practical approach. A multitude of perspectives from a team of international contributors covers: the importance of Professional Learning Networks the use of evidence within PLNs the impact of inter-school networks international cases of networks and communities the promotion and sustainability of PLNs Also featuring case studies and exemplars to contextualise sustainable learning networks, Networks For Learning is an accessible and thoroughly-researched book, which will be essential reading and a valuable resource for researchers, teachers and school leaders who are interested in developing professional learning networks.
Author: Sarkar, Nurul
Publisher: IGI Global
ISBN: 1591407370
Category : Education
Languages : en
Pages : 386
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Book Description
"This book offers concepts of the teaching and learning of computer networking and hardwar eby offering undamental theoretical concepts illustrated with the use of interactive practical exercises"--Provided by publisher.
Author: A. W Bates
Publisher:
ISBN: 9780995269231
Category :
Languages : en
Pages :
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Book Description
Author: Charu C. Aggarwal
Publisher: Springer
ISBN: 3319944630
Category : Computers
Languages : en
Pages : 512
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Book Description
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.
Author: Jeremy Howard
Publisher: O'Reilly Media
ISBN: 1492045497
Category : Computers
Languages : en
Pages : 624
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Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Author: Linda Harasim
Publisher:
ISBN:
Category :
Languages : en
Pages : 329
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Book Description
Author: Mark Warschauer
Publisher: Cambridge University Press
ISBN: 9780521667425
Category : Foreign Language Study
Languages : en
Pages : 264
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Book Description
This collection of research in on-line communication for second language learning inlcudes use of electronic mail, real-time writing and the World Wide Web. It analyses the theories underlying computer-assisted learning.
Author: Ellen Meyers
Publisher: Corwin Press
ISBN: 1412967171
Category : Education
Languages : en
Pages : 145
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Book Description
This is a simple, effective idea that should have been thought of sooner. Kung Fu Phonics teaches phonics, i.e. the rules of "sounding out" words, through phonetics. Q: How do you say "phone?" A: /fon/ Phonics books out today (chockablock with happy hippos and grinning giraffes) are aimed at kindergartners. 4th-grade kids consider them "baby books." Phonetics texts are all daunting tomes for grad students of comparative linguistics and philology, and buying one will put you out fifty dollars No book has used the one to teach the other, until KUNG FU PHONICS. Phonetics has only ever been used to describe how words sound. Kung Fu Phonics is the first to employ phonetics PREDICTIVELY, asking students to describe how unfamiliar words SHOULD sound. Kung Fu Phonics is great for teaching K and pre-K kids to read, and with them you can skip the phonetic notations and just have them read and say the words. It's also a fine tool for teaching English to non-native speakers of any age. If your child is reading below grade level, spend twenty minutes a day with him studying phonetics with this book. Phonetics is just a tool, an uncomplicated but exacting series of squiggles. It's a nice bit of misdirection He'll complain about phonetics and how useless it is while you're doing something awfully concrete to bolster his reading skills: teaching PHONICS. (And since he's learning something his classmates aren't, it doesn't have the embarrassing feel of remediation.) It's an 88-page workbook. Twenty-five lessons, five model words and fifty exercise words per lesson. Concise instructions keep almost every lesson to two pages. And the instructions are so clear that anyone who reads English on a high-school level can use Kung Fu Phonics to teach reading. (Alas, you can't just toss it to a kindergartner and tell her to get busy; it requires cooperative effort.) It requires no DVD or audio CD to use; it's ready to teach as is. This is the American English edition of KUNG FU PHONICS. It uses American (Merriam-Webster) phonetics and describes American pronunciations.
