Smart Machines in Education PDF Download

Author: Kenneth D. Forbus
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 502

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Book Description
The emerging widespread use of artificial intelligence in education.

Author: Jamie Merisotis
Publisher: Rosetta Books
ISBN: 194812260X
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
A public policy leader addresses how artificial intelligence is transforming the future of labor—and what we can do to protect the role of workers. As computer technology advances with dizzying speed, human workers face an ever-increasing threat of obsolescence. In Human Work In the Age of Smart Machines, Jamie Merisotis argues that we can—and must—rise to this challenge by preparing to work alongside smart machines doing that which only humans can: thinking critically, reasoning ethically, interacting interpersonally, and serving others with empathy. The president and CEO of Lumina Foundation, Merisotis offers a roadmap for the large-scale, radical changes we must make in order to find abundant and meaningful work for ourselves in the 21st century. His vision centers on developing our unique capabilities as humans through learning opportunities that deliver fair results and offer a broad range of credentials. By challenging long-held assumptions and expanding our concept of work, Merisotis argues that we can harness the population’s potential, encourage a deeper sense of community, and erase a centuries-long system of inequality.

Author: Joseph E. Aoun
Publisher: MIT Press
ISBN: 0262535971
Category : Education
Languages : en
Pages : 211

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Book Description
How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A “robot-proof” education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society—a scientific proof, a hip-hop recording, a web comic, a cure for cancer. Aoun lays out the framework for a new discipline, humanics, which builds on our innate strengths and prepares students to compete in a labor market in which smart machines work alongside human professionals. The new literacies of Aoun's humanics are data literacy, technological literacy, and human literacy. Students will need data literacy to manage the flow of big data, and technological literacy to know how their machines work, but human literacy—the humanities, communication, and design—to function as a human being. Life-long learning opportunities will support their ability to adapt to change. The only certainty about the future is change. Higher education based on the new literacies of humanics can equip students for living and working through change.

Author: Bill Ferster
Publisher: JHU Press
ISBN: 1421415402
Category : Education
Languages : en
Pages : 216

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Book Description
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.

Author: Tavis D. Jules
Publisher: Emerald Group Publishing
ISBN: 178754852X
Category : Education
Languages : en
Pages : 304

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Book Description
This book examines, from a comparative perspective, the impact of the movement from the so-called knowledge-based economy towards the Intelligent Economy, which is premised upon the application of knowledge. This volume links the advent of this new technological revolution to the world of governance and policy formulation in education.

Author: Adam Smith
Publisher: AI in K-12 Education
ISBN:
Category : Education
Languages : en
Pages : 0

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Book Description
Title: Intelligent Machines in the Classroom: Unlocking the Potential of AI in K12 Education Author: Adam Smith In "Intelligent Machines in the Classroom: Unlocking the Potential of AI in K12 Education," renowned author and education technology expert Adam Smith explores the transformative potential of artificial intelligence in the realm of K12 education. This insightful book serves as a comprehensive guide for educators, administrators, policymakers, and parents interested in understanding and leveraging the power of AI to enhance learning outcomes. Smith delves into the intricacies of AI, demystifying complex concepts with his lucid writing style. He provides a balanced perspective on the benefits and challenges of integrating AI into the classroom, drawing on real-world examples and case studies from schools that have successfully adopted AI technologies. The book covers a wide range of topics, including personalized learning, data-driven instruction, intelligent tutoring systems, and the ethical considerations of AI in education. Smith also discusses the role of teachers in an AI-driven educational landscape and provides practical strategies for effectively blending human instruction with machine learning. "Intelligent Machines in the Classroom" is not just a theoretical exploration of AI in education. It is a practical roadmap for the future, offering actionable insights and recommendations for harnessing the power of AI to create more engaging, personalized, and effective learning experiences. This book is a must-read for anyone interested in the future of education and the role that technology will play in shaping it

Author: John Spencer
Publisher: Blend Education
ISBN: 9781734172645
Category :
Languages : en
Pages : 0

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Book Description
The A.I. Revolution is here and many schools are scrambling with how to respond. The truth is nobody knows exactly how machine learning will change teaching and learning. Moving forward, educators will need to be adaptable in the face of these changes. But more importantly, our students will need to navigate a world where to corporate ladder is now a maze. They'll need to develop deeply human skills in a world of smart machines.This book does not offer a blueprint with specific directions for how to use generative AI. It doesn't offer a step-by-step instruction manual for how educators will need to re-imagine learning. But what it does offer is a roadmap for how we can navigate the changing terrain. We explore how AI works and how we can avoid the two dead-ends of the Lock It and Block It and the Techno-Futurism routes. In this roadmap, we offer a third way that is human-centered and tech-infused. We examine how AI is transforming creative thinking, information literacy, project-based learning, assessment, and personalized learning and how we might keep a human-centered focus as we navigate these changes. Finally, we analyze how AI is changing each subject area and how we can respond in a way that helps us leverage AI while maintaining our humanity.

Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN: 1005202052
Category : Computers
Languages : en
Pages : 118

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Book Description
The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? Smart machines are no longer science-fiction. They are being used by businesses right here and now. And, every day, their capabilities are growing. So exactly what is a smart machine? Everything you've always wanted to know about smart machines other cognitive computing systems that are able to make decisions and solve problems without human intervention. By the end of reading this book, you will master the discussion about the following topics in Smart Machines: 01 - The Rise of Smart Machines: Smart machines are built on top of the breakthroughs in computer science. the advent of computers in the 20th century laid the modern groundwork for Smart Machines. Researchers, analysts and technology leaders agree that Smart Machines will change our lives 02 - Smart machines definitions: Why did Smart Machines emerge now and not later? General-purpose technology (GPT) is an economics term for innovation. Smart machines are devices that can teach themselves how to do things. Smart machines are built on top of existing technologies. The surge of progress in machine learning thanks to big data. 03 - Artificial intelligence of Smart Machines: Defense Advanced Research Projects Agency (DARPA) Projects. 04- Cognitive computing of Smart Machines: This categorization of Cognitive Computing and the discussion of the types of applications. Cognitive technologies are very good at analyzing large amounts of data and identifying anomalies. 05 - The real-world examples of Smart Machines: From DeepBlue to Watson. 06 - Smart Machine technologies: Smart Dust, Virtual Personal Assistants, Smart Data Discovery, Smart Workspace, Conversational User Interfaces, Smart Robots, Commercial UAVs (Drones), Autonomous Vehicles: Autonomous Vehicles. 07 - Smart machines go to school to learn:Central to machine learning is the process of feeding training data into a mathematical prediction model. The outlier cases are the best chances for learning 08 - Smart machines are wiser and smarter every day: Future machine learning, and the large increase in available data and the rise of crowdsourcing 09 - Smart machines speak multi-languages: One particularly complex problem facing machine translation today is dealing with rare languages 10 - Artificial Intelligence Levels: Support for Humans, Repetitive Task Automation, Context Knowledge and Learning, Self-awareness. 11 - Cognitive Task Types: Analyzing Numbers, Words and Images Analysis, Performing Digital Tasks, Performing Physical tasks 12 - The Great Convergence: The approach of key vendors to achieve the great convergence. The attributes of cognitive architecture. People will continue to have advantages over even the smartest machines. 13 - Smart robotics from vision to reality: Simultaneous Localization and Mapping. Funding the robotics projects. Robots navigate on planets. Developing robots for government and consumer-oriented applications. Robots in Japan. Robots Deployment. Social acceptance of robots. 14 - The business benefits of Smart Machines: Smart machines will change the way work. The use of Smart Machines in information technology. 15 - Smart machines are efficient: what do we really mean by machines replacing jobs? 16 - Smart machines raise challenging questions: The impact of Smart Machines on labor market. machines get smarter and more independent, and may not to our advantage. 17 - The future of Smart Machines: The growing role of industry labs and federal agencies. The advance of Smart Machines cannot be stopped so we must be ready for it.

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: Habib, Maki K.
Publisher: IGI Global
ISBN: 1522577947
Category : Education
Languages : en
Pages : 264

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Book Description
Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals.