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Author: Muthukrishnan Kalyanasundaram
Publisher: Partridge Publishing
ISBN: 1482844907
Category : Education
Languages : en
Pages : 234
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Book Description
Technology driven witty solutions to everyday Managerial Problems Like it is often told “Solutions at your doorstep”, we are completely surrounded by profound managerial solutions waiting to be unearthed from our everyday machines in the form of phones, computers, safety devices, automobile etc. The world of machines abounds with managerial thoughts and solutions. This inspiring book provides us with a new approach in problem solving and addresses the diverse challenges faced in managerial functions today. “Learning Management Back From Machines”, is the wonderful story of Krish and his latest creation, MANU – an advanced hyper-intelligent, direct-neural interface-capable humanoid, which helps Krish along in deriving managerial solutions from fellow-machines and machine-processes alike. In the process of learning and observing the history of various technological marvels along with the need for these inventions, we discover a whole new dimension of creative intelligence and learning, waiting to reveal itself all over again. The book is aimed at understanding the core essence of how machines have been made to work and help us discover new and innovative solutions to our everyday social and managerial problems. • RELIGIONS TEACH US MANAGEMENT. • STORIES AND FABLES TEACH US MANAGEMENT. • MANAGEMENT THEORIES TEACH US MANAGEMENT. • NOW EVERYDAY MACHINES WILL TEACH US MANAGEMENT
Author: Muthukrishnan Kalyanasundaram
Publisher: Partridge Publishing
ISBN: 1482844907
Category : Education
Languages : en
Pages : 234
Get Book Here
Book Description
Technology driven witty solutions to everyday Managerial Problems Like it is often told “Solutions at your doorstep”, we are completely surrounded by profound managerial solutions waiting to be unearthed from our everyday machines in the form of phones, computers, safety devices, automobile etc. The world of machines abounds with managerial thoughts and solutions. This inspiring book provides us with a new approach in problem solving and addresses the diverse challenges faced in managerial functions today. “Learning Management Back From Machines”, is the wonderful story of Krish and his latest creation, MANU – an advanced hyper-intelligent, direct-neural interface-capable humanoid, which helps Krish along in deriving managerial solutions from fellow-machines and machine-processes alike. In the process of learning and observing the history of various technological marvels along with the need for these inventions, we discover a whole new dimension of creative intelligence and learning, waiting to reveal itself all over again. The book is aimed at understanding the core essence of how machines have been made to work and help us discover new and innovative solutions to our everyday social and managerial problems. • RELIGIONS TEACH US MANAGEMENT. • STORIES AND FABLES TEACH US MANAGEMENT. • MANAGEMENT THEORIES TEACH US MANAGEMENT. • NOW EVERYDAY MACHINES WILL TEACH US MANAGEMENT
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: Steven D. Foreman
Publisher: Association for Talent Development
ISBN: 1607281651
Category : Business & Economics
Languages : en
Pages : 266
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Book Description
Select, Implement, and Operate the Perfect LMS If you need to manage training and education programs for employees, customers, or students, you need an LMS. Don’t waste time and money picking the wrong one. The LMS Guidebook gets to the core of what an LMS does and how it works. This book tackles the urgent challenges you will face when putting an LMS in place: Which features are must-haves? What standards should your LMS comply with to mesh with your other technology systems? How do you migrate existing learning data into your new LMS? How can you ensure an uneventful rollout? Not all LMS products will meet your needs. E-learning consultant Steve Foreman offers a broad view of the LMS categories and features so you can ask better questions of vendors and evaluate their products. He then turns to implementation and operation, offering in-depth guidance on how to establish appropriate standards, processes, and governance that will have your LMS running smoothly. Whether you’re on the instructional or technical side of the LMS, you can make the job of selecting and managing one less painful by following the proven practices in this book.
Author: Sofia B. Dias
Publisher: Springer Science & Business Media
ISBN: 3319020781
Category : Technology & Engineering
Languages : en
Pages : 243
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Book Description
What are the key channels to change in blended instructional practice as they relate to the use of a learning management system (LMS)? What role LMS users’ profiles play in facilitating change in practice? Can we model users’ quality of interaction (QoI) with LMS? How inclusiveness and affectiveness could lead to a personalized intelligent LMS (iLMS)? If these questions sound intrinsic to you and to your own experience and circumstance, then this book fits absolutely to you. Here, the term Blended – viewed as a fuzzy concept – is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the 21st century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. Initially, based on an online learning environment’ theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed. Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users’ trends and profiles and modeling of their QoI using fuzzy logic. This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, affectiveness and personalization of the iLMS-based b-learning environment, both by the educators, the LMS designers and educational policy decision makers.
Author: Ian H. Witten
Publisher: Elsevier
ISBN: 0080890369
Category : Computers
Languages : en
Pages : 665
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Book Description
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. - Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects - Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
Author: Wang, Victor C. X.
Publisher: IGI Global
ISBN: 1466660473
Category : Education
Languages : en
Pages : 1471
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Book Description
Technology has become an integral part of our everyday lives. This trend in ubiquitous technology has also found its way into the learning process at every level of education. The Handbook of Research on Education and Technology in a Changing Society offers an in-depth description of concepts related to different areas, issues, and trends within education and technological integration in modern society. This handbook includes definitions and terms, as well as explanations of concepts and processes regarding the integration of technology into education. Addressing all pertinent issues and concerns in education and technology in our changing society with a wide breadth of discussion, this handbook is an essential collection for educators, academicians, students, researchers, and librarians.
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: Kats, Yefim
Publisher: IGI Global
ISBN: 1615208542
Category : Technology & Engineering
Languages : en
Pages : 486
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Book Description
"This book gives a general coverage of learning management systems followed by a comparative analysis of the particular LMS products, review of technologies supporting different aspect of educational process, and, the best practices and methodologies for LMS-supported course delivery"--Provided by publisher.
Author: Kai R. Larsen
Publisher: Oxford University Press
ISBN: 0190941650
Category : Business & Economics
Languages : en
Pages : 353
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Book Description
This book teaches the full process of how to conduct machine learning in an organizational setting. It develops the problem-solving mind-set needed for machine learning and takes the reader through several exercises using an automated machine learning tool. To build experience with machine learning, the book provides access to the industry-leading AutoML tool, DataRobot, and provides several data sets designed to build deep hands-on knowledge of machinelearning.
Author: Jitendra Kumar
Publisher: CRC Press
ISBN: 1000476596
Category : Computers
Languages : en
Pages : 199
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Book Description
Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm. Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. Key Features: The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. It is written by leading international researchers. The book is ideal for researchers who are working in the domain of cloud computing.
