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Learning in Communities
by John M. CarrollMost learning takes place in communities. People continually learn through their participation with others in everyday activities. Such learning is important in contemporary society because formal education cannot prepare people for a world that changes rapidly and continually. We need to live in learning communities. This volume gathers together all of the scholarly materials directly emanating from a workshop held in August 2005, when a multidisciplinary group of scholars met at Penn State's College of Information Sciences and Technology to discuss 'learning in communities'. Initially, a sectioned report on the workshop was published as a special section in the Journal of Community Informatics in 2006. Subsequently, a special issue of 5 full papers was published in the Journal of Computer-Supported Cooperative Work, and a special section of 2 full papers was published in the International Journal of Computer-Supported Collaborative Learning.
Learning in Energy-Efficient Neuromorphic Computing: Algorithm And Architecture Co-design (Wiley - IEEE)
by Nan Zheng Pinaki MazumderExplains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware. Includes cross-layer survey of hardware accelerators for neuromorphic algorithms Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.
Learning in Information-Rich Environments
by Delia NeumanThe amount and range of information available to today's students--and indeed to all learners--is unprecedented. Phrases like "the information revolution", "the information (or knowledge) society", and "the knowledge economy" underscore the truism that our society has been transformed by virtually instantaneous access to virtually unlimited information. Thomas Friedman tells us that "The World Is Flat" and that we must devise new political and economic understandings based on the ceaseless communication of information from all corners of the world. The Bush administration tells us that information relating to the "war on terrorism" is so critical that we must allow new kinds of surveillance to keep society safe. Teenage subscribers to social-computing networks not only access information but enter text and video images and publish them widely--becoming the first adolescents in history to be creators as well as consumers of vast quantities of information. If the characteristics of "the information age" demand new conceptions of commerce, national security, and publishing--among other things--it is logical to assume that they carry implications for education as well. In fact, a good deal has been written over the last several decades about how education as a whole must transform its structure and curriculum to accommodate the possibilities offered by new technologies. Far less has been written, however, about how the specific affordances of these technologies--and the kinds of information they allow students to access and create--relate to the central purpose of education: learning. What does "learning" mean in an information-rich environment? What are its characteristics? What kinds of tasks should it involve? What concepts, strategies, attitudes, and skills do educators and students need to master if they are to learn effectively and efficiently in such an environment? How can researchers, theorists, and practitioners foster the well-founded and widespread development of such key elements of the learning process? This book explores these questions and suggests some tentative answers. Drawing from research and theory in three distinct but related fields--learning theory, instructional systems design, and information studies--it presents a way to think about learning that responds directly to the actualities of a world brimming with information. The book is grounded in the work of such key figures in learning theory as Bransford and Anderson & Krathwohl. It draws on such theorists of instructional design as Gagne, Mayer, and Merrill. From information studies, it uses ideas from Buckland, Marchionini, and Wilson (who is known for his pioneering work in "information behavior"--that is, the full range of information seeking and use). The book breaks new ground in bringing together ideas that have run in parallel for years but whose relationship has not been fully explored.
Learning in Information-Rich Environments: I-LEARN and the Construction of Knowledge from Information
by Delia Neuman Mary Jean Tecce DeCarlo Vera J. Lee Stacey Greenwell Allen GrantThe amount and range of information available to today’s students—and indeed to all learners—is unprecedented. If the characteristics of “the information age” demand new conceptions of commerce, national security, and publishing—among other things—it is logical to assume that they carry implications for education as well. Little has been written, however, about how the specific affordances of these technologies—and the kinds of information they allow students to access and create—relate to the central purpose of education: learning. What does “learning” mean in an information-rich environment? What are its characteristics? What kinds of tasks should it involve? What concepts, strategies, attitudes, and skills do educators and students need to master if they are to learn effectively and efficiently in such an environment? How can researchers, theorists, and practitioners foster the well-founded and widespread development of such key elements of the learning process? This second edition continues these discussions and suggests some tentative answers. Drawing primarily from research and theory in three distinct but related fields—learning theory, instructional systems design, and information studies—it presents a way to think about learning that responds directly to the actualities of a world brimming with information. The second edition also includes insights from digital and critical literacies and provides a combination of an updated research-and-theory base and a collection of instructional scenarios for helping teachers and librarians implement each step of the I-LEARN model. The book could be used in courses in teacher preparation, academic-librarian preparation, and school-librarian preparation.
Learning in Non-Stationary Environments
by Moamar Sayed-Mouchaweh Edwin LughoferRecent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.
Learning in Real Time
by Finkelstein Jonathan E.Learning in Real Time is a concise and practical resource for education professionals teaching live and online or those wanting to humanize and improve interaction in their online courses by adding a synchronous learning component. The book offers keen insight into the world of synchronous learning tools, guides instructors in evaluating how and when to use them, and illustrates how educators can develop their own strategies and styles in implementing such tools to improve online learning.
Learning in Virtual Worlds: Research and Applications
by Barney Dalgarno Belinda Tynan Mark J.W. Lee Sue GregoryThree-dimensional (3D) immersive virtual worlds have been touted as being capable of facilitating highly interactive, engaging, multimodal learning experiences. Much of the evidence gathered to support these claims has been anecdotal but the potential that these environments hold to solve traditional problems in online and technology-mediated education—primarily learner isolation and student disengagement—has resulted in considerable investments in virtual world platforms like Second Life, OpenSimulator, and Open Wonderland by both professors and institutions. To justify this ongoing and sustained investment, institutions and proponents of simulated learning environments must assemble a robust body of evidence that illustrates the most effective use of this powerful learning tool. In this authoritative collection, a team of international experts outline the emerging trends and developments in the use of 3D virtual worlds for teaching and learning. They explore aspects of learner interaction with virtual worlds, such as user wayfinding in Second Life, communication modes and perceived presence, and accessibility issues for elderly or disabled learners. They also examine advanced technologies that hold potential for the enhancement of learner immersion and discuss best practices in the design and implementation of virtual world-based learning interventions and tasks. By evaluating and documenting different methods, approaches, and strategies, the contributors to Learning in Virtual Worlds offer important information and insight to both scholars and practitioners in the field. Contributors include Paul M. Baker, Francesca Bertacchini, Leanne Cameron, Chris Campbell, Helen S. Farley, Laura Fedeli, Sue Gregory, Christopher Hardy, Bob Heller, Vicki Knox, Shailey Minocha, Jessica Pater, Margarita Pérez García, Mike Procter, Torsten Reiners, Paul Resta, Corbin Rose, Miri Shonfeld, Ann Smith, Layla F. Tabatabaie, Assunta Tavernise, Robert L. Todd, Steven Warburton, and Stephany F. Wilkes.
Learning in a Digital World: Perspective on Interactive Technologies for Formal and Informal Education (Smart Computing and Intelligence)
by J. Michael Spector Andri Ioannou Paloma Díaz Kaushal Kumar BhagatThis book aims at guiding the educators from a variety of available technologies to support learning and teaching by discussing the learning benefits and the challenges that interactive technology imposes. This guidance is based on practical experiences gathered through developing and integrating them into varied educational settings. It compiles experiences gained with various interactive technologies, offering a comprehensive perspective on the use and potential value of interactive technologies to support learning and teaching. Taken together, the chapters provide a broader view that does not focus exclusively on the uses of technology in educational settings, but also on the impact and ability of technology to improve the learning and teaching processes.The book addresses the needs of researchers, educators and other stakeholders in the area of education interested in learning how interactive technologies can be used to overcome key educational challenges.
Learning in a Digitalized Age: Plugged in, Turned on, Totally Engaged? (World Class Schools Ser.)
by Lawrence BurkeAll professional learning communities agree that there is added value in utilizing technologies to enhance and facilitate student success. This volume seeks from us a critical and informed answer to one of the most important educational questions of the day: how successful will learners be in the digital age? Here, writers with real hands-on experience in the field challenge many of the assumptions about teaching and learning in the digital age. It is relevant and important for all those interested and concerned about the kinds of debates, arguments and ideas which are influencing and changing the nature of teaching and learning in the early decades of the 21st century.
Learning in a Digitalized Age: Plugged in, Turned on, Totally Engaged? (World Class Schools Ser.)
by Lawrence BurkeAll professional learning communities agree that there is added value in utilizing technologies to enhance and facilitate student success. This volume seeks from us a critical and informed answer to one of the most important educational questions of the day: how successful will learners be in the digital age? Here, writers with real hands-on experience in the field challenge many of the assumptions about teaching and learning in the digital age. It is relevant and important for all those interested and concerned about the kinds of debates, arguments and ideas which are influencing and changing the nature of teaching and learning in the early decades of the 21st century.
Learning in the Age of Digital and Green Transition: Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 1 (Lecture Notes in Networks and Systems #633)
by Michael E. Auer Tiia Rüütmann Wolfgang PachatzWe are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative ways to quickly respond to these new needs.These were the aims connected with the 25th International Conference on Interactive Collaborative Learning (ICL2022), which was held in Vienna, Austria, from September 27 to 30, 2022.Since its beginning in 1998, this conference is devoted to new approaches in learning with a focus on collaborative learning in higher education.This book contains papers in the fields of:• Collaborative Learning• Digital Transition in Education• Technology Enhanced Learning• Advances in Machine and Technology Enhanced Learning• Educational Virtual Environments• Flipped Classrooms• Games in Engineering Education• Entrepreneurship in Engineering EducationInterested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, the learning industry, further and continuing education lecturers, etc.
Learning in the Age of Digital and Green Transition: Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 2 (Lecture Notes in Networks and Systems #634)
by Michael E. Auer Tiia Rüütmann Wolfgang PachatzWe are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative ways to quickly respond to these new needs.These were the aims connected with the 25th International Conference on Interactive Collaborative Learning (ICL2022), which was held in Vienna, Austria, from September 27 to 30, 2022.Since its beginning in 1998, this conference is devoted to new approaches in learning with a focus on collaborative learning in higher education.This book contains papers in the fields of:• New Learning Models and Applications• Project-Based Learning• Engineering Pedagogy Education• Research in Engineering Pedagogy• Teaching Best Practices• Real World Experiences• Academia-Industry Partnerships• Trends in Master and Doctoral Research.Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, the learning industry, further and continuing education lecturers, etc.
Learning in the Digital Era: 7th European Lean Educator Conference, ELEC 2021, Trondheim, Norway, October 25–27, 2021, Proceedings (IFIP Advances in Information and Communication Technology #610)
by Erlend Alfnes Daryl John Powell Marte D. Q. Holmemo Eivind RekeThis book constitutes the refereed proceedings of the 7th European Lean Educator Conference ELEC 2021, hosted in Trondheim, Norway, in October 2021 and sponsored by IFIP WG 5.7. The conference was held virtually. The 42 full papers presented were carefully reviewed and selected from 82 submissions. They are organized in the following thematic sections: Learning Lean; Teaching Lean in the Digital Era; Lean and Digital; Lean 4.0; Lean Management; Lean Coaching and Mentoring; Skills and Knowledge Management; Productivity and Performance Improvement; New Perspectives of Lean.
Learning jQuery 1.3
by Karl Swedberg Jonathan ChafferThis book begins with a tutorial to jQuery, followed by an examination of common, real-world client-side problems, and solutions to each of them making it an invaluable resource for answers to all your jQuery questions. This book is for web designers who want to create interactive elements for their designs, and for developers who want to create the best user interface for their web applications. Basic JavaScript programming knowledge is required. You will need to know the basics of HTML and CSS, and should be comfortable with the syntax of JavaScript. No knowledge of jQuery is assumed, nor is experience with any other JavaScript libraries required.
Learning jQuery 3 - Fifth Edition
by Adam Boduch Karl Swedberg Jonathan ChafferCreate efficient and smart web applications with jQuery 3.0 using this step-by-step practical tutorial About This Book • Create a fully featured and responsive client-side application using jQuery • Explore all the latest features of jQuery 3.0 and code examples updated to reflect modern JavaScript environments • Develop high performance interactive pages Who This Book Is For This book is ideal for client-side JavaScript developers. You do need to have any previous experience with jQuery, although basic JavaScript programming knowledge is necessary. What You Will Learn • Create custom interactive elements for your web designs • Find out how to create the best user interface for your web applications • Use selectors in a variety of ways to get anything you want from a page when you need it • Master events to bring your web pages to life • Add flair to your actions with a variety of different animation effects • Discover the latest features available in jQuery with the latest update of this incredibly popular title • Using jQuery npm Packages In Detail If you are a web developer and want to create web applications that look good, are efficient, have rich user interfaces, and integrate seamlessly with any backend using AJAX, then this book is the ideal match for you. We'll show you how you can integrate jQuery 3.0 into your web pages, avoid complex JavaScript code, create brilliant animation effects for your web applications, and create a flawless app. We start by configuring and customising the jQuery environment, and getting hands-on with DOM manipulation. Next, we'll explore event handling advanced animations, creating optimised user interfaces, and building useful third-party plugins. Also, we'll learn how to integrate jQuery with your favourite back-end framework. Moving on, we'll learn how the ECMAScript 6 features affect your web development process with jQuery. we'll discover how to use the newly introduced JavaScript promises and the new animation API in jQuery 3.0 in great detail, along with sample code and examples. By the end of the book, you will be able to successfully create a fully featured and efficient single page web application and leverage all the new features of jQuery 3.0 effectively. Style and approach Create efficient client-side apps that look great and run seamlessly across all devices with this step-by-step practical guide. There are illustrative examples for those who need extra help to get started with jQuery web development.
Learning jQuery Deferreds: Taming Callback Hell with Deferreds and Promises
by Terry Jones Nicholas H. TollerveyOrchestrating asynchronous function calls in JavaScript often leads to callback hell, but there is a reliable way to avoid this painful state of affairs. With this concise and simple guide, you’ll learn how to use jQuery deferreds and promises, an elegant approach for managing asynchronous calls in both client and server applications.This book contains 18 examples that use deferreds to solve progressively challenging real-world programming problems, along with 75 stimulating puzzles (and their solutions) that will help you understand how and when to use deferreds. Experienced JavaScript programmers will learn new tricks in a fun way, and become immersed in the practice of event-based programming.Understand the logic behind creating deferreds and returning promisesGet a structured explanation of jQuery’s deferred APIDelve into the dynamics of using deferredsExplore a broad collection of useful deferred recipes developed by the authorsGain hands-on experience by solving challenges that accompany each recipeGo deeper into deferreds: encounter novel abstractions and mind-bending use cases
Learning jQuery Fourth Edition
by Karl Swedberg Jonathan ChafferStep through each of the core concepts of the jQuery library, building an overall picture of its capabilities. Once you have thoroughly covered the basics, the book returns to each concept to cover more advanced examples and techniques.This book is for web designers who want to create interactive elements for their designs, and for developers who want to create the best user interface for their web applications. Basic JavaScript programming and knowledge of HTML and CSS is required. No knowledge of jQuery is assumed, nor is experience with any other JavaScript libraries.
Learning jQuery, Third Edition
by Karl Swedberg Jonathan ChafferStep through each of the core concepts of the jQuery library, building an overall picture of its capabilities. Once you have thoroughly covered the basics, the book returns to each concept to cover more advanced examples and techniques. This book is for web designers who want to create interactive elements for their designs, and for developers who want to create the best user interface for their web applications. Basic JavaScript programming and knowledge of HTML and CSS is required. No knowledge of jQuery is assumed, nor is experience with any other JavaScript libraries.
Learning jqPlot
by Scott GottreuIf you are a developer with a good understanding of JavaScript and jQuery and have been burdened with the task of analyzing and presenting some data, this book will provide you with the start you need to create some very attractive data visualizations.
Learning on the Go: How to Personalize Education with the iPad (CAST Skinny Books)
by Luis F. PerezThe iPad is a powerful educational device—versatile, mobile, flexible, and accessible to all learners, including those with disabilities. A huge number of up-to-date applications exponentially lift its value as a teaching and learning tool. In Learning on the Go: How to Personalize Education with the iPad, Luis F. Pérez provides savvy tips and strategies to turn the iPad’s transformative potential into effective classroom practice.
Learning on the Net: A Practical Guide to Enhancing Learning in Primary Classrooms
by Alan PritchardFirst Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.
Learning pandas
by Michael HeydtIf you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.
Learning pandas
by Michael Heydt<P><P>Key Features <P><P>Employ the use of pandas for data analysis closely to focus more on analysis and less on programming <P><P>Get programmers comfortable in performing data exploration and analysis on Python using pandas <P><P>Step-by-step demonstration of using Python and pandas with interactive and incremental examples to facilitate learning <P><P>Book Description <P><P>This learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis. <P><P>This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loading data from local and Internet-based resources, and finally creating effective visualizations to form quick insights. You start with an overview of pandas and NumPy and then dive into the details of pandas, covering pandas' Series and DataFrame objects, before ending with a quick review of using pandas for several problems in finance. <P><P>With the knowledge you gain from this book, you will be able to quickly begin your journey into the exciting world of data science and analysis. <P><P>What You Will Learn <P><P>Install pandas on Windows, Mac, and Linux using the Anaconda Python distribution <P><P>Learn how pandas builds on NumPy to implement flexible indexed data <P><P>Adopt pandas' Series and DataFrame objects to represent one- and two-dimensional data constructs <P><P>Index, slice, and transform data to derive meaning from information <P><P>Load data from files, databases, and web services <P><P>Manipulate dates, times, and time series data <P><P>Group, aggregate, and summarize data <P><P>Visualize techniques for pandas and statistical data
Learning pandas - Second Edition
by Michael HeydtGet to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book • Get comfortable using pandas and Python as an effective data exploration and analysis tool • Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process • A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas Who This Book Is For This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required. What You Will Learn • Understand how data analysts and scientists think about of the processes of gathering and understanding data • Learn how pandas can be used to support the end-to-end process of data analysis • Use pandas Series and DataFrame objects to represent single and multivariate data • Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources • How to access data from external sources such as files, databases, and web services • Represent and manipulate time-series data and the many of the intricacies involved with this type of data • How to visualize statistical information • How to use pandas to solve several common data representation and analysis problems within finance In Detail You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science. Style and approach • Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis • Practical demonstration of using Python and pandas using interactive and incremental examples
Learning scikit-learn: Machine Learning in Python
by Raul Garreta Guillermo MoncecchiThe book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this the book for you. No previous experience with machine-learning algorithms is required.