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A comprehensive and up-to-date investigation of what research shows about the educational value of computer games for learning. Many strong claims are made for the educational value of computer games, but there is a need for systematic examination of the research evidence that might support such claims. This book fills that need by providing, a comprehensive and up-to-date investigation of what research shows about learning with computer games. Computer Games for Learning describes three genres of game research: the value-added approach, which compares the learning outcomes of students who learn with a base version of a game to those of students who learn with the base version plus an additional feature; the cognitive consequences approach, which compares learning outcomes of students who play an off-the-shelf computer game for extended periods to those of students who do not; and the media comparative approach, which compares the learning outcomes of students who learn material by playing a game to those of students who learn the same material using conventional media. After introductory chapters that describe the rationale and goals of learning game research as well as the relevance of cognitive science to learning with games, the book offers examples of research in all three genres conducted by the author and his colleagues at the University of California, Santa Barbara; meta-analyses of published research; and suggestions for future research in the field. The book is essential reading for researchers and students of educational games, instructional designers, learning-game developers, and anyone who wants to know what the research has to say about the educational effectiveness of computer games.

Full HD 1080P USB Webcam: The USB PC Webcam adopts advanced H.264 compression technology, which provides incredibly sharp HD1080P (1920 x 1080) to capture crystal clear images and records HD 1080P/25fps video. Perfect for streaming, conferencing, video chatting, webinars, gaming, distance learning and more. 60°s Widescreen and Stereo Microphone: Fixed focus computer camera captures high-definition video at a wide angle of up to 60°s, Great for webinars, video conferencing, live streaming. And its inbuilt digital stereo MIC with Automatic Noise Reduction makes the sound purer and clearer, clearly capture voice within 8 meters to make sure everyone hears the real you. Real Time HD Auto Focus Webcam: This PC Desktop Webcam with auto focus real time and wide-angle lens features captures every details of the picture. Real time auto focus enables the HD Computer Camera to capture razor-sharp high-definition video in every environment. Fully Compatibility: This USB PC Computer Webcam Suitable for Most Software Pro stream webcam supports Skype, YouTube, Facebook, XBOX one, OBS, Mixer, Xsplit, ZOOM, Hangouts, FaceTime, Twitter, Twitch, WhatsApp, Yahoo, MSN, Android IPTV, etc. Plug and Play, No Driver Required: Open the package, take out of the webcam, plug the USB interface into a computer and then turn on the webcam to use it. No need to install additional drivers and feel ease to operate it.

A comprehensive and up-to-date investigation of what research shows about the educational value of computer games for learning. Many strong claims are made for the educational value of computer games, but there is a need for systematic examination of the research evidence that might support such claims. This book fills that need by providing, a comprehensive and up-to-date investigation of what research shows about learning with computer games. Computer Games for Learning describes three genres of game research: the value-added approach, which compares the learning outcomes of students who learn with a base version of a game to those of students who learn with the base version plus an additional feature; the cognitive consequences approach, which compares learning outcomes of students who play an off-the-shelf computer game for extended periods to those of students who do not; and the media comparative approach, which compares the learning outcomes of students who learn material by playing a game to those of students who learn the same material using conventional media. After introductory chapters that describe the rationale and goals of learning game research as well as the relevance of cognitive science to learning with games, the book offers examples of research in all three genres conducted by the author and his colleagues at the University of California, Santa Barbara; meta-analyses of published research; and suggestions for future research in the field. The book is essential reading for researchers and students of educational games, instructional designers, learning-game developers, and anyone who wants to know what the research has to say about the educational effectiveness of computer games.

Andrea diSessa's career as a scholar, technologist, and teacher has been driven by one important question: can education -- in particular, science education -- be transformed by the computer so that children can learn more, learn more easily at an earlier age, and learn with pleasure and commitment? This book is diSessa's informed and passionate affirmative answer to that question.While written at a level that anyone with a good acquaintance with high school science can understand, the book reflects the depth and breadth of the issues surrounding technology in education. Rejecting the simplistic notion that the computer is merely a tool for more efficient instruction, diSessa shows how computers can be the basis for a new literacy that will change how people think and learn. He discusses the learning theory that explains why computers can be such powerful catalysts for change in education, in particular, how intuitive knowledge is the platform on which students build scientific understanding. He also discusses the material and social reasons for the computer's potential and argues for "two-way literacies," where everyone is a creator as well as consumer of dynamic and interactive expressive forms. DiSessa gives many examples from his work using the Boxer computer environment, an integrated software system designed to investigate computational literacies.

Computers are developing into a powerful medium integrating film, pictures, text, and sound, and the use of computers for communication and information is rapidly expanding. The Computer as Medium brings insights from art, literature, and theater to bear on computers and discusses the communicative and organizational nature of computer networks within a historical perspective. The book consists of three parts: The first part characterizes the semiotic nature of computers and discusses semiotic approaches to programming and interface design. The second section discusses narrative and aesthetic issues of interactive fiction, information systems, and hypertext. The final part contains papers on the cultural, organizational, and historical impact of computers.

As an introduction to the basics of computer graphics, the approach here focusses on the four main concepts: modeling, rendering, animation, and image manipulation. The authors provide a "learning-by-doing" environment, comprising plenty of hands-on exercises and software. The graphics library provided with the book helps simplify the programming required of readers whilst providing a robust platform for experimentation. Exercises at the end of each chapter illustrate the principles covered.

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This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. - Covers cutting-edge techniques, including graph cuts, machine learning, and multiple view geometry. - A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition, and object tracking. - More than 70 algorithms are described in sufficient detail to implement. - More than 350 full-color illustrations amplify the text. - The treatment is self-contained, including all of the background mathematics. - Additional resources at www.computervisionmodels.com.

As an introduction to the basics of computer graphics, the approach here focusses on the four main concepts: modeling, rendering, animation, and image manipulation. The authors provide a "learning-by-doing" environment, comprising plenty of hands-on exercises and software. The graphics library provided with the book helps simplify the programming required of readers whilst providing a robust platform for experimentation. Exercises at the end of each chapter illustrate the principles covered.

Use your Raspberry Pi to get smart about computing fundamentals In the 1980s, the tech revolution was kickstarted by a flood of relatively inexpensive, highly programmable computers like the Commodore. Now, a second revolution in computing is beginning with the Raspberry Pi. Learning Computer Architecture with the Raspberry Pi is the premier guide to understanding the components of the most exciting tech product available. Thanks to this book, every Raspberry Pi owner can understand how the computer works and how to access all of its hardware and software capabilities. Now, students, hackers, and casual users alike can discover how computers work with Learning Computer Architecture with the Raspberry Pi. This book explains what each and every hardware component does, how they relate to one another, and how they correspond to the components of other computing systems. You'll also learn how programming works and how the operating system relates to the Raspberry Pi's physical components. Co-authored by Eben Upton, one of the creators of the Raspberry Pi, this is a companion volume to the Raspberry Pi User Guide An affordable solution for learning about computer system design considerations and experimenting with low-level programming Understandable descriptions of the functions of memory storage, Ethernet, cameras, processors, and more Gain knowledge of computer design and operation in general by exploring the basic structure of the Raspberry Pi The Raspberry Pi was created to bring forth a new generation of computer scientists, developers, and architects who understand the inner workings of the computers that have become essential to our daily lives. Learning Computer Architecture with the Raspberry Pi is your gateway to the world of computer system design.

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Of all the topics ever studied, surely one of the most compelling is human learning itself. What is the nature of the human mind? How do we understand and process new information? Where do new ideas come from? How is our very intelligence a product of society and culture? Computers, Cockroaches, and Ecosystems: Understanding Learning through Metaphor brings to light the great discoveries about human learning by illuminating key metaphors underlying the major learning perspectives. Such metaphors include, among others, the mind as computer, the mind as ecosystem, and the mind as cultural tools. These metaphors reveal the essence of different learning perspectives in a way that is accessible and engaging for teachers and students. Each metaphor is brought to life through stories ranging from the humorous to the profound. The book conveys scholarly ideas in a personal manner and will be a delight for teachers, university students, parents, business or military trainers, or anyone with an interest in learning.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.4

"How to Think Like a Computer Scientist: Learning with Python" is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

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"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithmsGetting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

"How to Think Like a Computer Scientist: Learning with Python" is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

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