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Learning the Virtual Life: Public Pedagogy in a Digital World
by Peter Pericles TrifonasDigital technologies have transformed cultural perceptions of learning and what it means to be literate, expanding the importance of experience alongside interpretation and reflection. Learning the Virtual Life offers ways to consider the local and global effects of digital media on educational environments, as well as the cultural transformations of how we now define learning and literacy. While some have welcomed the educational challenges of digital culture and emphasized its possibilities for individual emancipation and social transformation in the new information age, others accuse digital culture of absorbing its recipients in an all-pervasive virtual world. Unlike most accounts of the educational and cultural consequences of digital culture, Learning the Virtual Life presents a neutral, advanced introduction to the key issues involved with the integration of digital culture and education. This edited collection presents international perspectives on a wide range of issues, and each chapter combines upper-level theory with "real-world" practice, making this essential reading for all those interested in digital media and education.
Learning the Yahoo! User Interface library: Get Started And Get To Grips With The Yui Javascript Development Library!
by Dan WellmanThe book is a tutorial, leading the reader first through the basics of the YUI library before moving on to more complex examples involving the YUI controls and utilities. The book is heavily example driven, and based around an approach of tinkering and extending to improve. This book is for web developers comfortable with JavaScript and CSS, who want to use the YUI library to easily put together rich, responsive web interfaces. No knowledge of the YUI library is presumed.The book is a tutorial, leading the reader first through the basics of the YUI library before moving on to more complex examples involving the YUI controls and utilities. The book is heavily example driven, and based around an approach of tinkering and extending to improve. This book is for web developers comfortable with JavaScript and CSS, who want to use the YUI library to easily put together rich, responsive web interfaces. No knowledge of the YUI library is presumed.
Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings (Lecture Notes in Computer Science #3559)
by Peter Auer Ron MeirThis volume contains papers presented at the Eighteenth Annual Conference on Learning Theory (previously known as the Conference on Computational Learning Theory) held in Bertinoro, Italy from June 27 to 30, 2005. The technical program contained 45 papers selected from 120 submissions, 3 open problems selected from among 5 contributed, and 2 invited lectures. The invited lectures were given by Sergiu Hart on “Uncoupled Dynamics and Nash Equilibrium”, and by Satinder Singh on “Rethinking State, Action, and Reward in Reinforcement Learning”. These papers were not included in this volume. The Mark Fulk Award is presented annually for the best paper co-authored by a student. The student selected this year was Hadi Salmasian for the paper titled “The Spectral Method for General Mixture Models” co-authored with Ravindran Kannan and Santosh Vempala. The number of papers submitted to COLT this year was exceptionally high. In addition to the classical COLT topics, we found an increase in the number of submissions related to novel classi?cation scenarios such as ranking. This - crease re?ects a healthy shift towards more structured classi?cation problems, which are becoming increasingly relevant to practitioners.
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings (Lecture Notes in Computer Science #4539)
by Nader Bshouty Claudio GentileThis book constitutes the refereed proceedings of the 20th Annual Conference on Learning Theory, COLT 2007, held in San Diego, CA, USA in June 2007. It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized learning, kernel methods, SVM, online and reinforcement learning, learning algorithms and limitations on learning, dimensionality reduction, as well as open problems.
Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings (Lecture Notes in Computer Science #3120)
by John Shawe-Taylor Yoram Singer
Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings (Lecture Notes in Computer Science #4005)
by Hans Ulrich Simon Gábor LugosiThis book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. The book presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures. The papers cover a wide range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more.
Learning Theory and Kernel Machines: 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings (Lecture Notes in Computer Science #2777)
by Bernhard Schölkopf Manfred K. Warmuth
Learning Theory and Online Technologies
by Linda HarasimLearning Theory and Online Technologies offers a powerful overview of the current state of online learning, the foundations of its historical roots and growth, and a framework for distinguishing between the major approaches to online learning. It addresses pedagogy (how to design an effective online environment for learning), evaluation (how to know that students are learning), and history (how past research can guide successful online teaching and learning outcomes). An ideal textbook for undergraduate Education and Communication programs as well as Educational Technology Masters, Ph.D., and Certificate programs, Learning Theory and Online Technologies provides a synthesis of the key advances in online education learning theory and the key frameworks of research, and clearly links theory and research to successful learning practice. This revised second edition updates data on digital media adoption globally, adds a new chapter on connectivism as a learning theory, and updates the chapter on online collaborative learning, renaming the theory as collaborativism and considering the challenges that arise with the growth of artificial intelligence.
Learning Theory and Online Technologies
by Linda HarasimLearning Theory and Online Technologies offers a powerful overview of the current state of online learning, the foundations of its historical roots and growth, and a framework for distinguishing between the major approaches to online learning. It addresses pedagogy (how to design an effective online environment for learning), evaluation (how to know that students are learning), and history (how past research can guide successful online teaching and learning outcomes). An ideal textbook for undergraduate Education and Communication programs as well as Educational Technology Masters, Ph.D., and Certificate programs, Learning Theory and Online Technologies provides a synthesis of the key advances in online education learning theory and the key frameworks of research, and clearly links theory and research to successful learning practice. This revised second edition updates data on digital media adoption globally, adds a new chapter on connectivism as a learning theory, and updates the chapter on online collaborative learning, renaming the theory as collaborativism and considering the challenges that arise with the growth of artificial intelligence.
Learning Three.js – the JavaScript 3D Library for WebGL - Second Edition
by Jos DirksenIf you know JavaScript and want to start creating 3D graphics that run in any browser, this book is a great choice for you. You don't need to know anything about math or WebGL; all that you need is general knowledge of JavaScript and HTML.
Learning Three.js: The Javascript 3d Library For Webgl
by Jos Dirksen“Learning Three.js is a hands-on guide which provides everything you need to start working with the powerful JavaScript library, and start creating awesome in-browser visualizations”.Learning Three.js is written for anyone looking to get started with Three.js, or looking to improve their skills with the popular js library. The book assumes some knowledge of javascript, but you don't need any knowledge of Three.js itself to follow the book.
Learning Through Computers: An Introduction to Computer Assisted Learning in Engineering, Mathematics and the Sciences at Tertiary Level
by D. Tawney
Learning Through Knowledge Management
by Pervaiz K. Ahmed Kwang Kok Lim Ann Y Loh'Learning through Knowledge Management' provides an insightful overview of the main issues integrating learning and Knowledge Management. It offers a rich resource of case examples that highlight Knowledge Management in practice. The text explores and defines learning and Knowledge Management concepts, and deals with the elements that play an important part in determining implementation success in the organization. The chapters present a managerially oriented discussion of the following key areas:* The role of processes in managing knowledge* The behavioural side of Knowledge Management * Leadership reflexes for knowledge management success* The key features of Information Technology required for Knowledge Management* The future of Knowledge Management as part of organization management.There are many case studies which include: British Airways BP Amoco Ford Hewlett Packard Xerox Swedish Police IBM The case studies encompass a diverse and broad range of sectors, maturity of practice, problems and approaches to Knowledge Management.
Learning Through Knowledge Management
by Pervaiz K. Ahmed Kwang Kok Lim Ann Y Loh'Learning through Knowledge Management' provides an insightful overview of the main issues integrating learning and Knowledge Management. It offers a rich resource of case examples that highlight Knowledge Management in practice. The text explores and defines learning and Knowledge Management concepts, and deals with the elements that play an important part in determining implementation success in the organization. The chapters present a managerially oriented discussion of the following key areas:* The role of processes in managing knowledge* The behavioural side of Knowledge Management * Leadership reflexes for knowledge management success* The key features of Information Technology required for Knowledge Management* The future of Knowledge Management as part of organization management.There are many case studies which include: British Airways BP Amoco Ford Hewlett Packard Xerox Swedish Police IBM The case studies encompass a diverse and broad range of sectors, maturity of practice, problems and approaches to Knowledge Management.
Learning-Through-Touring: Mobilising Learners And Touring Technologies To Creatively Explore The Built Environment (Technology Enhanced Learning #6)
by Juliet SprakeLearning-through-Touring uncovers ways in which people interact with the built environment by exploring the spaces around, between and within buildings. The key idea embodied in the book is that learning through touring is haptic –the learner is a physical, cognitive and emotional participant in the process. It also develops the concept that tours, rather than being finished products, are designed to evolve through user participation and over time. Part One of the book presents a series of analytical investigations into theories and practices of learning and touring that have then been developed to produce a set of conceptual methods for tour design. Projects that have tried and tested these methods are described in Part Two. Technologies that have been utilised as portable tools for learning-through-touring are illustrated both through historical and contemporary practices. In all of this, there is an underlying belief that what is formally presented to us by ‘authorities’ is open to self-discovery, questioning and independent enquiry. The book is particularly relevant for those seeking innovative ways to explore and engage with the built environment; mobile learning educators; learning departments in museums, galleries and historic buildings; organisations involved in ‘bridging the gap’ between architecture and public understanding and anyone who enjoys finding out new things about their environment.
Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science #668)
by Thorsten JoachimsBased on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications. Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.
Learning to Learn
by Sebastian Thrun Lorien PrattOver the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. Learning to Learn is an exciting new research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described in Learning to Learn induce general functions from experience. However, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. To illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. Humans encounter a continual stream of learning tasks. They do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. As a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. A deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. In recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. Learning to Learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. Its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.
Learning to Live in the Knowledge Society: IFIP 20th World Computer Congress, IFIP TC 3 ED-L2L Conference, September 7-10, 2008, Milano, Italy (IFIP Advances in Information and Communication Technology #Vol. 173)
by Michael Kendall Brian SamwaysED-L2L, Learning to Live in the Knowledge Society, is one of the co-located conferences of the 20th World Computer Congress (WCC2008). The event is organized under the auspices of IFIP (International Federation for Information Processing) and is to be held in Milan from 7th to 10th September 2008. ED-L2L is devoted to themes related to ICT for education in the knowledge society. It provides an international forum for professionals from all continents to discuss research and practice in ICT and education. The event brings together educators, researchers, policy makers, curriculum designers, teacher educators, members of academia, teachers and content producers. ED-L2L is organised by the IFIP Technical Committee 3, Education, with the support of the Institute for Educational Technology, part of the National Research Council of Italy. The Institute is devoted to the study of educational innovation brought about through the use of ICT. Submissions to ED-L2L are published in this conference book. The published papers are devoted to the published conference themes: Developing digital literacy for the knowledge society: information problem solving, creating, capturing and transferring knowledge, commitment to lifelong learning Teaching and learning in the knowledge society, playful and fun learning at home and in the school New models, processes and systems for formal and informal learning environments and organisations Developing a collective intelligence, learning together and sharing knowledge ICT issues in education - ethics, equality, inclusion and parental role Educating ICT professionals for the global knowledge society Managing the transition to the knowledge society
Learning to Play: Reinforcement Learning and Games
by Aske PlaatIn this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography.The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.
Learning to Program in Pascal and Delphi (PDF)
by S. LangfieldThis book is designed to help students on the AQA 'AS' Level Computing course to learn the programming covered in Unit 1, and to enable the Unit 3 Practical Exercise to be tackled using either Pascal or Delphi.
Learning To Program In Python (PDF)
by P. M. HeathcoteThis book is a straightforward guide to the Python programming language and programming techniques. It covers all of the practical programming skills that may be required up to GCSE level and for those at AS Level with limited exposure to Python. It is suitable for both experienced programmers, students or individuals with very little or no programming experience in other languages. It teaches basic syntax and programming techniques, and introduces three inbuilt Python modules: Tkinter, used for building a graphical user interface, which is an option that some users may like to include in their project work. SQLite, which enables the creation and processing of a database from within a Python program. This provides an alternative to writing to a text file when data needs to be stored and retrieved. pdb, Python’s debugging module, which can be used to help find elusive logic errors.
Learning to Program in Visual Basic (PDF)
by Sylvia LangfieldThis book is a straightforward guide to the Visual Basic programming language and programming techniques. It covers all of the practical programming skills that may be required up to GCSE level and for those at AS Level with limited exposure to VB. It is suitable for both experienced programmers, students or individuals with very little or no programming experience in other languages.
Learning to Program the Object-oriented Way with C#
by Vinny Cahill Donal LaffertyC# is a modern, object-oriented language that enables programmers to quickly build a wide range of applications for the new Microsoft .NET platform, which provides tools and services that fully exploit both computing and communications. Learning to Program the Object-Oriented Way with C# presents an introductory guide to this hot topic. The authors use a practice-based approach supported by lots of examples of increasing complexity and frequent graded exercises, which are available online. -Introduces an approach to learning programming based on the use of object orientation from day one. -Includes many worked examples, the code and solution to which are available online. -The book is being technically reviewed and approved by Microsoft. -One of the first introductory textbooks on C# and object orientation - based on the final release version at the beginning of 2002. -Suitable for courses in introductory programming.
Learning to Program with MATLAB: Building GUI Tools
by Craig S. LentAuthor Craig Lent’s 1st edition of Learning to Program with MATLAB: Building GUI Tools teaches the core concepts of computer programming, such as arrays, loops, function, basic data structures, etc., using MATLAB. The text has a focus on the fundamentals of programming and builds up to an emphasis on GUI tools, covering text-based programs first, then programs that produce graphics. This creates a visual expression of the underlying mathematics of a problem or design.