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Learning in a Digital World: Perspective on Interactive Technologies for Formal and Informal Education (Smart Computing and Intelligence)
by Paloma Díaz Andri Ioannou Kaushal Kumar Bhagat J. Michael SpectorThis 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 Networked Society: Spontaneous and Designed Technology Enhanced Learning Communities (Computer-Supported Collaborative Learning Series #17)
by Amit M. Schejter Yael Kali Ayelet Baram-TsabariOne of the most significant developments in contemporary education is the view that knowing and understanding are anchored in cultural practices within communities. This shift coincides with technological advancements that have reoriented end-user computer interaction from individual work to communication, participation and collaboration. However, while daily interactions are increasingly engulfed in mobile and networked Information and Communication Technologies (ICT), in-school learning interactions are, in comparison, technologically impoverished, creating the phenomenon known as the school-society digital disconnect. This volume argues that the theoretical and practical tools of scientists in both the social and educational sciences must be brought together in order to examine what types of interaction, knowledge construction, social organization and power structures: (a) occur spontaneously in technology-enhanced learning (TEL) communities or (b) can be created by design of TEL. This volume seeks to equip scholars and researchers within the fields of education, educational psychology, science communication, social welfare, information sciences, and instructional design, as well as practitioners and policy-makers, with empirical and theoretical insights, and evidence-based support for decisions providing learners and citizens with 21st century skills and knowledge, and supporting well-being in today’s information-based networked society.
Learning in Communities: Interdisciplinary Perspectives on Human Centered Information Technology (Human–Computer Interaction Series)
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 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 Graphical Models (NATO Science Series D: #89)
by Michael I. JordanIn the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of different points of view. There has been substantial progress in these different communities and surprising convergence has developed between the formalisms. The awareness of this convergence and the growing interest of researchers in understanding the essential unity of the subject underlies the current volume. Two research communities which have used graphical or network formalisms to particular advantage are the belief network community and the neural network community. Belief networks arose within computer science and statistics and were developed with an emphasis on prior knowledge and exact probabilistic calculations. Neural networks arose within electrical engineering, physics and neuroscience and have emphasised pattern recognition and systems modelling problems. This volume draws together researchers from these two communities and presents both kinds of networks as instances of a general unified graphical formalism. The book focuses on probabilistic methods for learning and inference in graphical models, algorithm analysis and design, theory and applications. Exact methods, sampling methods and variational methods are discussed in detail. Audience: A wide cross-section of computationally oriented researchers, including computer scientists, statisticians, electrical engineers, physicists and neuroscientists.
Learning in Information-Rich Environments: I-LEARN and the Construction of Knowledge in the 21st Century
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: Methods and Applications
by Moamar Sayed-Mouchaweh and 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 and Virtual Worlds: Commercial Video Games as Educational Tools (Digital Education and Learning)
by P. LacasaPacked with critical analysis and real-life examples, this book explores how children's video games can cultivate learning. Lacasa takes several commercial video games and shows how they can be used both in and out of the classroom to teach initiative and problem-solving, encourage creativity, promote literacy, and develop reasoning skills.
Learning in Real Time: Synchronous Teaching and Learning Online (Jossey-Bass Guides to Online Teaching and Learning #26)
by Jonathan E. FinkelsteinLearning 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 Real Time: Synchronous Teaching and Learning Online (Jossey-Bass Guides to Online Teaching and Learning #22)
by Jonathan E. FinkelsteinLearning 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 School, Home and Community: ICT for Early and Elementary Education (IFIP Advances in Information and Communication Technology #113)
by YaacovKatz GailMarshallMany teachers are hesitant as to how to teach about ICT and, at the same time, integrate ICT into subject-based learning. Parents and the community-at-large have goals that differ from the goals espoused by teachers and students. This volume highlights the concerns of all - students, teachers, parents, policy makers and the general public. Major themes in Learning in School, Home and Community: ICT for Early and Elementary Education include: *Teachers' and researchers' studies of ICT use in school, home and community. *National strategies and policies affecting ICT use in school, home and community. *ICT tools designed to promote learning and the optimal settings to promote learning. *School and community responses to ICT use that promote the integration of ICT for all members of the community. This volume contains the selected proceedings of the Working Conference on Learning with Technologies in School, Home and Community, which was sponsored by the International Federation for Information Processing (IFIP) and held June 30-July 5, 2002 in Manchester, United Kingdom.
Learning in School, Home and Community: ICT for Early and Elementary Education (IFIP Advances In Information And Communication Technology Ser. #113)
by Gail Marshall Yaacov Julian Katz IFIP Technical Committee on Education International Federation for Information Processing Working Group 3.5 StaffMany teachers are hesitant as to how to teach about ICT and, at the same time, integrate ICT into subject-based learning. Parents and the community-at-large have goals that differ from the goals espoused by teachers and students. This volume highlights the concerns of all - students, teachers, parents, policy makers and the general public. Major themes in Learning in School, Home and Community: ICT for Early and Elementary Education include: *Teachers' and researchers' studies of ICT use in school, home and community. *National strategies and policies affecting ICT use in school, home and community. *ICT tools designed to promote learning and the optimal settings to promote learning. *School and community responses to ICT use that promote the integration of ICT for all members of the community. This volume contains the selected proceedings of the Working Conference on Learning with Technologies in School, Home and Community, which was sponsored by the International Federation for Information Processing (IFIP) and held June 30-July 5, 2002 in Manchester, United Kingdom.
Learning in School, Home and Community: ICT for Early and Elementary Education (IFIP Advances In Information And Communication Technology Ser. #113)
by Gail Marshall Yaacov Julian Katz IFIP Technical Committee on Education International Federation for Information Processing Working Group 3.5 StaffMany teachers are hesitant as to how to teach about ICT and, at the same time, integrate ICT into subject-based learning. Parents and the community-at-large have goals that differ from the goals espoused by teachers and students. This volume highlights the concerns of all - students, teachers, parents, policy makers and the general public. Major themes in Learning in School, Home and Community: ICT for Early and Elementary Education include: *Teachers' and researchers' studies of ICT use in school, home and community. *National strategies and policies affecting ICT use in school, home and community. *ICT tools designed to promote learning and the optimal settings to promote learning. *School and community responses to ICT use that promote the integration of ICT for all members of the community. This volume contains the selected proceedings of the Working Conference on Learning with Technologies in School, Home and Community, which was sponsored by the International Federation for Information Processing (IFIP) and held June 30-July 5, 2002 in Manchester, United Kingdom.
Learning in the Absence of Training Data
by Dalia ChakrabartyThis book introduces the concept of “bespoke learning”, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generally provides information about the system’s behaviour/structure, and the aim is to learn the input-output relationship, even though little to no information on the output is available, as in multiple real-world problems. Once the output values have been bespoke-learnt, the originally-absent training set of input-output pairs becomes available, so that (supervised) learning of the sought inter-variable relation is then possible. Three ways of undertaking such bespoke learning are offered: by tapping into system dynamics in generic dynamical systems, to learn the function that causes the system’s evolution; by comparing realisations of a random graph variable, given multivariate time series datasets of disparate temporal coverage; and by designing maximally information-availing likelihoods in static systems. These methodologies are applied to four different real-world problems: forecasting daily COVID-19 infection numbers; learning the gravitational mass density in a real galaxy; learning a sub-surface material density function; and predicting the risk of onset of a disease following bone marrow transplants. Primarily aimed at graduate and postgraduate students studying a field which includes facets of statistical learning, the book will also benefit experts working in a wide range of applications. The prerequisites are undergraduate level probability and stochastic processes, and preliminary ideas on Bayesian statistics.
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 Wolfgang Pachatz Tiia RüütmannWe 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 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 Daryl John Powell Erlend Alfnes 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 in the Synergy of Multiple Disciplines: 4th European Conference on Technology Enhanced Learning, EC-TEL 2009 Nice, France, September 29--October 2, 2009 Proceedings (Lecture Notes in Computer Science #5794)
by Ulrike Cress Vania Dimitrova Marcus SpechtThis book constitutes the refereed proceedings of the 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, held in Nice, France in September/October 2009. The 35 revised full papers, 17 short papers, and 35 posters presented were carefully reviewed and selected from 136 paper submissions and 22 poster submissions. The papers are organized in topical sections on adaptation and personalization, interoperability, semantic Web, Web 2.0., data mining and social networks, collaboration and social knowledge construction, learning communities and communities of practice, learning contexts, problem and project-based learning, inquiry, learning, learning design, motivation, engagement, learning games, and human factors and evaluation.
Learning Informatica PowerCenter 10.x - Second Edition
by Rahul MalewarHarness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutions About This Book • Master PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach. • An ideal guide to building the necessary skills and competencies to become an expert Informatica PowerCenter developer. • A comprehensive guide to fetching/transforming and loading huge volumes of data in a very effective way, with reduced resource consumption Who This Book Is For If you wish to deploy Informatica in enterprise environments and build a career in data warehousing, then this book is for you. Whether you are a software developer/analytic professional and are new to Informatica or an experienced user, you will learn all the features of Informatica 10.x. A basic knowledge of programming and data warehouse concepts is essential. What You Will Learn • Install or upgrade the components of the Informatica PowerCenter tool • Work on various aspects of administrative skills and on the various developer Informatica PowerCenter screens such as Designer, Workflow Manager, Workflow Monitor, and Repository Manager. • Get practical hands-on experience of various sections of Informatica PowerCenter, such as navigator, toolbar, workspace, control panel, and so on • Leverage basic and advanced utilities, such as the debugger, target load plan, and incremental aggregation to process data • Implement data warehousing concepts such as schemas and SCDs using Informatica • Migrate various components, such as sources and targets, to another region using the Designer and Repository Manager screens • Enhance code performance using tips such as pushdown optimization and partitioning In Detail Informatica PowerCenter is an industry-leading ETL tool, known for its accelerated data extraction, transformation, and data management strategies. This book will be your quick guide to exploring Informatica PowerCenter's powerful features such as working on sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data at speed. First, you'll learn how to install and configure tools. You will learn to implement various data warehouse and ETL concepts, and use PowerCenter 10.x components to build mappings, tasks, workflows, and so on. You will come across features such as transformations, SCD, XML processing, partitioning, constraint-based loading, Incremental aggregation, and many more. Moreover, you'll also learn to deliver powerful visualizations for data profiling using the advanced monitoring dashboard functionality offered by the new version. Using data transformation technique, performance tuning, and the many new advanced features, this book will help you understand and process data for training or production purposes. The step-by-step approach and adoption of real-time scenarios will guide you through effectively accessing all core functionalities offered by Informatica PowerCenter version 10.x. Style and approach You'll get hand-on with sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data, and learn everything you need to become a proficient Informatica PowerCenter developer.
Learning Informatica PowerCenter 9.x
by Rahul MalewarIf you wish to deploy Informatica in enterprise environments and make a career in data warehousing, then this book is for you. Whether you are a developer who's new to Informatica or an experienced professional, you will learn all the features of Informatica. Basic knowledge of programming and data warehouse concepts is essential.
Learning Internet of Things
by Peter WaherIf you're a developer or electronics engineer who is curious about Internet of Things, then this is the book for you. With only a rudimentary understanding of electronics, Raspberry Pi, or similar credit-card sized computers, and some programming experience using managed code such as C# or Java, you will be taught to develop state-of-the-art solutions for Internet of Things in an instant.
Learning Ionic
by Arvind RavulavaruThis book is intended for those who want to learn how to build hybrid mobile applications using Ionic. It is also ideal for people who want to explore theming for Ionic apps. Prior knowledge of AngularJS is essential to complete this book successfully.
Learning Ionic - Second Edition
by Arvind RavulavaruCreate real-time hybrid applications with the leader of HTML5 frameworks: Ionic Framework About This Book • Step into the world of amazingly interactive and real-time app development using Ionic 2 • Leverage the powerful Angular 2 along with Ionic to develop cutting edge apps • Detailed code examples and explanations will help you get up and running with Ionic quickly and easily Who This Book Is For This book is for JavaScript developers with basic skills. No previous knowledge of Ionic is required for this book. What You Will Learn • Understanding the world of the mobile hybrid architecture • Scaffolding and working with Ionic templates • Transforming a single page app to a multi-page app using Navigation Controller • Integrating Ionic components, decorators, and services and rapidly developing complex applications • Theming Ionic apps as well as customizing components using SCSS • Working with Ionic Native to interface with device features, such as camera, notifications, and battery • Building a production grade app using Ionic and Uber API to let users book a ride • Migrating an Ionic 1 app to Ionic 2 or Ionic 3 • Performing unit testing, end-to-end testing, and device testing on your apps • Deploying Ionic apps to store and manage their subsequent releases In Detail Ionic makes it incredibly easy to build beautiful and interactive mobile apps using HTML5, SCSS, and Angular. Ionic also makes app development easier, faster, and more fun. This hands-on guide will help you understand the Ionic framework and how you can leverage it to create amazing real-time applications. We begin by covering the essential features of Angular 2, and then dive straight into how Ionic fits in today's world of hybrid app development and give you a better understanding of the mobile hybrid architecture along the way. Further on, you will learn how to work with Ionic decorators, services, and components, which will allow you to build complex apps using the Ionic framework. We will take a look at theming Ionic apps using the built-in SCSS setup. After that, we will explore Ionic Native, and you will learn how to integrate device-specific features, such as notifications, with the Ionic app. To complete our learning, we will be building a Rider app, using Ionic and Uber API, to book a ride. Next, you will learn how to unit test, end-to-end test, monkey test, and execute device testing on AWS Device farm. Then, we will take a look at migrating the existing Ionic 1 apps to Ionic 2 and deploy them to the App Store. The final chapter on Ionic 3 wraps up this book by explaining the new features of Ionic 3 at the time of writing this book. By the end of this book, you will be able to develop, deploy, and manage hybrid mobile applications built with Cordova, Ionic, and Angular. All the examples in this book are valid for both Ionic 2 and Ionic 3. Style and approach A step-by-step, practical approach to learning Ionic using the example of designing an online course app. Each topic is explained sequentially in the process of creating a course. This includes explanations of both basic and advanced features of Ionic.