Author: Chad Udell
Publisher: John Wiley & Sons
ISBN: 1118884914
Category : Business & Economics
Languages : en
Pages : 368
Book Description
Discover the strategies, tools, and technologies necessary for developing successful mobile learning programs In the modern, rapidly-expanding mobile learning environment, only clear guidelines and state-of-the-art technologies will stand up to the challenges that lie ahead. With a smart focus that combines a proven process with all-important strategies and practical applications, Mastering Mobile Learning stands as the most modern, comprehensive resource on the subject. It also features unique technical content previously unavailable among the literature of the mobile learning field. This book will help you turn concept into reality. This book will show you best practices for obtaining and providing educational, training, and professional development content on devices like smartphones, tablets and other mobile devices. Trainers, educators, designers, instructional technologists, workplace learning professionals, and HR professionals will learn how mobile learning differs from other forms of e-learning, and will be introduced to the challenges and—more importantly—the advantages of mobile learning strategies and technologies for 21st century business environments. The book provides: An overview of mobile learning, including evolving definitions and reasons for executives to embrace this approach A discussion of the business drivers of mobile learning, advice for creating a mobile learning content strategy, and easy ways to inexpensively launch mobile learning Valuable tips on how to use unique affordances of mobile devices to better serve your learners while they are on the go Information on the ROI of mobile learning, using mobile devices as research tools, and why training in mobile development is critical An overview of the technical aspects of the design and development of mobile learning Written by experts in this burgeoning field, Mastering Mobile Learning provides a roadmap for creating the most effective learning content, strategies, and applications possible.
Mastering Mobile Learning
Learning Everywhere
Author: Chad Udell
Publisher: Float Mobile Learning
ISBN: 1605440175
Category : Business & Economics
Languages : en
Pages : 287
Book Description
Once the decision to go mobile has been made in a learning organization, at first glance it may seem as though the hardest decision has been made. Soon after this path is chosen, though, reality sets in. There are a lot of things to consider as you work to build your initial learning content for the many varieties of mobile devices. From strategy and design, to development, delivery and beyond, every step along the way is crucial to your success. In Learning Everywhere, Chad Udell, a seasoned expert on mobile learning, demystifies the many choices involved in developing mobile learning content, and provides real-world experience on how to get down to the business of creating mobile learning. With an approachable and down to earth style, Chad gives the reader a wealth of detail. His goal is to explain mobile design and development to learning professionals in the context of creating best-of-breed mobile experiences, while leveraging superior user interface design and development techniques. A framework of four content types gives instructional designers, learning developers, and managers a solid grounding in the exciting possibilities for learning using mobile phones, tablets and other devices. Focused on creating solutions that increase organizational performance no matter the content type or instructional need, this book is truly about Learning Everywhere. Book foreword by Judy Brown, well known mobile learning analyst.
Publisher: Float Mobile Learning
ISBN: 1605440175
Category : Business & Economics
Languages : en
Pages : 287
Book Description
Once the decision to go mobile has been made in a learning organization, at first glance it may seem as though the hardest decision has been made. Soon after this path is chosen, though, reality sets in. There are a lot of things to consider as you work to build your initial learning content for the many varieties of mobile devices. From strategy and design, to development, delivery and beyond, every step along the way is crucial to your success. In Learning Everywhere, Chad Udell, a seasoned expert on mobile learning, demystifies the many choices involved in developing mobile learning content, and provides real-world experience on how to get down to the business of creating mobile learning. With an approachable and down to earth style, Chad gives the reader a wealth of detail. His goal is to explain mobile design and development to learning professionals in the context of creating best-of-breed mobile experiences, while leveraging superior user interface design and development techniques. A framework of four content types gives instructional designers, learning developers, and managers a solid grounding in the exciting possibilities for learning using mobile phones, tablets and other devices. Focused on creating solutions that increase organizational performance no matter the content type or instructional need, this book is truly about Learning Everywhere. Book foreword by Judy Brown, well known mobile learning analyst.
Learning Mobile App Development
Author: Jakob Iversen
Publisher: Pearson Education
ISBN: 032194786X
Category : Computers
Languages : en
Pages : 464
Book Description
Now, one book can help you master mobile app development with both market-leading platforms: Apple's iOS and Google's Android. Perfect for both students and professionals, Learning Mobile App Development is the only tutorial with complete parallel coverage of both iOS and Android. With this guide, you can master either platform, or both--and gain a deeper understanding of the issues associated with developing mobile apps. You'll develop an actual working app on both iOS and Android, mastering the entire mobile app development lifecycle, from planning through licensing and distribution. Each tutorial in this book has been carefully designed to support readers with widely varying backgrounds and has been extensively tested in live developer training courses. If you're new to iOS, you'll also find an easy, practical introduction to Objective-C, Apple's native language.
Publisher: Pearson Education
ISBN: 032194786X
Category : Computers
Languages : en
Pages : 464
Book Description
Now, one book can help you master mobile app development with both market-leading platforms: Apple's iOS and Google's Android. Perfect for both students and professionals, Learning Mobile App Development is the only tutorial with complete parallel coverage of both iOS and Android. With this guide, you can master either platform, or both--and gain a deeper understanding of the issues associated with developing mobile apps. You'll develop an actual working app on both iOS and Android, mastering the entire mobile app development lifecycle, from planning through licensing and distribution. Each tutorial in this book has been carefully designed to support readers with widely varying backgrounds and has been extensively tested in live developer training courses. If you're new to iOS, you'll also find an easy, practical introduction to Objective-C, Apple's native language.
Handbook of Research on Digital Content, Mobile Learning, and Technology Integration Models in Teacher Education
Author: Keengwe, Jared
Publisher: IGI Global
ISBN: 1522529543
Category : Education
Languages : en
Pages : 497
Book Description
While many facets of our lives are rapidly becoming more digital, educational institutions are now faced with the task of finding new and innovative ways to incorporate technology into the classroom. Examining the latest trends in digital tools provides a more effective learning environment for future generations. The Handbook of Research on Digital Content, Mobile Learning, and Technology Integration Models in Teacher Education is a pivotal scholarly reference source that outlines the most efficient ways for educators to employ technology-enhanced lesson plans in their classroom. Featuring pertinent topics that include blended learning environments, student engagement, artificial intelligence, and learner-centered pedagogy, this is an ideal resource for educators, aspiring teachers, and researchers that are interested in discovering recent trends and techniques related to digital learning environments and technology-enhanced classrooms.
Publisher: IGI Global
ISBN: 1522529543
Category : Education
Languages : en
Pages : 497
Book Description
While many facets of our lives are rapidly becoming more digital, educational institutions are now faced with the task of finding new and innovative ways to incorporate technology into the classroom. Examining the latest trends in digital tools provides a more effective learning environment for future generations. The Handbook of Research on Digital Content, Mobile Learning, and Technology Integration Models in Teacher Education is a pivotal scholarly reference source that outlines the most efficient ways for educators to employ technology-enhanced lesson plans in their classroom. Featuring pertinent topics that include blended learning environments, student engagement, artificial intelligence, and learner-centered pedagogy, this is an ideal resource for educators, aspiring teachers, and researchers that are interested in discovering recent trends and techniques related to digital learning environments and technology-enhanced classrooms.
Mastering Shiny
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 149204735X
Category : Computers
Languages : en
Pages : 372
Book Description
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
Publisher: "O'Reilly Media, Inc."
ISBN: 149204735X
Category : Computers
Languages : en
Pages : 372
Book Description
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
Learning with Mobile Technologies, Handheld Devices, and Smart Phones: Innovative Methods
Author: Lu, Zhongyu (Joan)
Publisher: IGI Global
ISBN: 1466609370
Category : Education
Languages : en
Pages : 273
Book Description
"This book presents a collection of innovative research that focuses on learning in the digital world with advanced mobile technologies"--Provided by publisher.
Publisher: IGI Global
ISBN: 1466609370
Category : Education
Languages : en
Pages : 273
Book Description
"This book presents a collection of innovative research that focuses on learning in the digital world with advanced mobile technologies"--Provided by publisher.
Mastering .NET Machine Learning
Author: Jamie Dixon
Publisher: Packt Publishing Ltd
ISBN: 1785881191
Category : Computers
Languages : en
Pages : 358
Book Description
Master the art of machine learning with .NET and gain insight into real-world applications About This Book Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0 Set up your business application to start using machine learning techniques Familiarize the user with some of the more common .NET libraries for machine learning Implement several common machine learning techniques Evaluate, optimize and adjust machine learning models Who This Book Is For This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required. What You Will Learn Write your own machine learning applications and experiments using the latest .NET framework, including .NET Core 1.0 Set up your business application to start using machine learning. Accurately predict the future using regressions. Discover hidden patterns using decision trees. Acquire, prepare, and combine datasets to drive insights. Optimize business throughput using Bayes Classifier. Discover (more) hidden patterns using KNN and Naive Bayes. Discover (even more) hidden patterns using K-Means and PCA. Use Neural Networks to improve business decision making while using the latest ASP.NET technologies. Explore “Big Data”, distributed computing, and how to deploy machine learning models to IoT devices – making machines self-learning and adapting Along the way, learn about Open Data, Bing maps, and MBrace In Detail .Net is one of the widely used platforms for developing applications. With the meteoric rise of Machine learning, developers are now keen on finding out how can they make their .Net applications smarter. Also, .NET developers are interested into moving into the world of devices and how to apply machine learning techniques to, well, machines. This book is packed with real-world examples to easily use machine learning techniques in your business applications. You will begin with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model using an example which predicts sales of a product. Forming a base with the regression model, you will start using machine learning libraries available in .NET framework such as Math.NET, Numl.NET and Accord.NET with the help of a sample application. You will then move on to writing multiple linear regressions and logistic regressions. You will learn what is open data and the awesomeness of type providers. Next, you are going to address some of the issues that we have been glossing over so far and take a deep dive into obtaining, cleaning, and organizing our data. You will compare the utility of building a KNN and Naive Bayes model to achieve best possible results. Implementation of Kmeans and PCA using Accord.NET and Numl.NET libraries is covered with the help of an example application. We will then look at many of issues confronting creating real-world machine learning models like overfitting and how to combat them using confusion matrixes, scaling, normalization, and feature selection. You will now enter into the world of Neural Networks and move your line of business application to a hybrid scientific application. After you have covered all the above machine learning models, you will see how to deal with very large datasets using MBrace and how to deploy machine learning models to Internet of Thing (IoT) devices so that the machine can learn and adapt on the fly Style and approach This book will guide you in learning everything about how to tackle the flood of data being encountered these days in your .NET applications with the help of popular machine learning libraries offered by the .NET framework.
Publisher: Packt Publishing Ltd
ISBN: 1785881191
Category : Computers
Languages : en
Pages : 358
Book Description
Master the art of machine learning with .NET and gain insight into real-world applications About This Book Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0 Set up your business application to start using machine learning techniques Familiarize the user with some of the more common .NET libraries for machine learning Implement several common machine learning techniques Evaluate, optimize and adjust machine learning models Who This Book Is For This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required. What You Will Learn Write your own machine learning applications and experiments using the latest .NET framework, including .NET Core 1.0 Set up your business application to start using machine learning. Accurately predict the future using regressions. Discover hidden patterns using decision trees. Acquire, prepare, and combine datasets to drive insights. Optimize business throughput using Bayes Classifier. Discover (more) hidden patterns using KNN and Naive Bayes. Discover (even more) hidden patterns using K-Means and PCA. Use Neural Networks to improve business decision making while using the latest ASP.NET technologies. Explore “Big Data”, distributed computing, and how to deploy machine learning models to IoT devices – making machines self-learning and adapting Along the way, learn about Open Data, Bing maps, and MBrace In Detail .Net is one of the widely used platforms for developing applications. With the meteoric rise of Machine learning, developers are now keen on finding out how can they make their .Net applications smarter. Also, .NET developers are interested into moving into the world of devices and how to apply machine learning techniques to, well, machines. This book is packed with real-world examples to easily use machine learning techniques in your business applications. You will begin with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model using an example which predicts sales of a product. Forming a base with the regression model, you will start using machine learning libraries available in .NET framework such as Math.NET, Numl.NET and Accord.NET with the help of a sample application. You will then move on to writing multiple linear regressions and logistic regressions. You will learn what is open data and the awesomeness of type providers. Next, you are going to address some of the issues that we have been glossing over so far and take a deep dive into obtaining, cleaning, and organizing our data. You will compare the utility of building a KNN and Naive Bayes model to achieve best possible results. Implementation of Kmeans and PCA using Accord.NET and Numl.NET libraries is covered with the help of an example application. We will then look at many of issues confronting creating real-world machine learning models like overfitting and how to combat them using confusion matrixes, scaling, normalization, and feature selection. You will now enter into the world of Neural Networks and move your line of business application to a hybrid scientific application. After you have covered all the above machine learning models, you will see how to deal with very large datasets using MBrace and how to deploy machine learning models to Internet of Thing (IoT) devices so that the machine can learn and adapt on the fly Style and approach This book will guide you in learning everything about how to tackle the flood of data being encountered these days in your .NET applications with the help of popular machine learning libraries offered by the .NET framework.
Mobile Learning
Author: Scott McQuiggan
Publisher: John Wiley & Sons
ISBN: 1118894308
Category : Education
Languages : en
Pages : 400
Book Description
Explore the game-changing technology that allows mobile learning to effectively reach K-12 students Mobile Learning: A Handbook for Developers, Educators and Learners provides research-based foundations for developing, evaluating, and integrating effective mobile learning pedagogy. Twenty-first century students require twenty-first century technology, and mobile devices provide new and effective ways to educate children. But with new technologies come new challenges—therefore, this handbook presents a comprehensive look at mobile learning by synthesizing relevant theories and drawing practical conclusions for developers, educators, and students. Mobile devices—in ways that the laptop, the personal computer, and netbook computers have not—present the opportunity to make learning more engaging, interactive, and available in both traditional classroom settings and informal learning environments. From theory to practice, Mobile Learning explores how mobile devices are different than their technological predecessors, makes the case for developers, teachers, and parents to invest in the technology, and illustrates the many ways in which it is innovative, exciting, and effective in educating K-12 students. Explores how mobile devices can support the needs of students Provides examples, screenshots, graphics, and visualizations to enhance the material presented in the book Provides developers with the background necessary to create the apps their audience requires Presents the case for mobile learning in and out of classrooms as early as preschool Discusses how mobile learning enables better educational opportunities for the visually impaired, students with Autism, and adult learners. If you're a school administrator, teacher, app developer, or parent, this topical book provides a theoretical, well-researched discussion of the pedagogical theory and mobile learning, as well as practical advice in setting up a mobile learning strategy.
Publisher: John Wiley & Sons
ISBN: 1118894308
Category : Education
Languages : en
Pages : 400
Book Description
Explore the game-changing technology that allows mobile learning to effectively reach K-12 students Mobile Learning: A Handbook for Developers, Educators and Learners provides research-based foundations for developing, evaluating, and integrating effective mobile learning pedagogy. Twenty-first century students require twenty-first century technology, and mobile devices provide new and effective ways to educate children. But with new technologies come new challenges—therefore, this handbook presents a comprehensive look at mobile learning by synthesizing relevant theories and drawing practical conclusions for developers, educators, and students. Mobile devices—in ways that the laptop, the personal computer, and netbook computers have not—present the opportunity to make learning more engaging, interactive, and available in both traditional classroom settings and informal learning environments. From theory to practice, Mobile Learning explores how mobile devices are different than their technological predecessors, makes the case for developers, teachers, and parents to invest in the technology, and illustrates the many ways in which it is innovative, exciting, and effective in educating K-12 students. Explores how mobile devices can support the needs of students Provides examples, screenshots, graphics, and visualizations to enhance the material presented in the book Provides developers with the background necessary to create the apps their audience requires Presents the case for mobile learning in and out of classrooms as early as preschool Discusses how mobile learning enables better educational opportunities for the visually impaired, students with Autism, and adult learners. If you're a school administrator, teacher, app developer, or parent, this topical book provides a theoretical, well-researched discussion of the pedagogical theory and mobile learning, as well as practical advice in setting up a mobile learning strategy.
The Mobile Learning Edge: Tools and Technologies for Developing Your Teams
Author: Gary Woodill
Publisher: McGraw Hill Professional
ISBN: 007173984X
Category : Business & Economics
Languages : en
Pages : 288
Book Description
Engage and teach your team wherever and whenever—from one of the world's leading e-learning authorities. The digital electronics revolution keeps us connected with almost anyone around the world and makes information available anywhere, at anytime. In the workplace, the impact has been great, propelling mobile learning to the forefront of training and education. Dr. Gary Woodill, a senior analyst at a leading e-learning research firm shows you how mobile learning is evolving, and how organizations can use it more efficiently and effectively--with companies reaping the rewards of increased communication, teamwork, productivity and profitability. Learn how to break free from the old notions of training and development with the concrete strategies in The Mobile Learning Edge and Become skilled in the seven principles of successfully training employees on the move Implement new learning programs that employees can access anywhere Develop a future mobile learning strategy in an ever-changing environment Discover what might be the right kind of mobile technologies for your company With The Mobile Learning Edge you'll go beyond applications and content and be able to create engaging and productive mobile learning for your team. According to a recent study, there's one mobile device for every two people in the world, and the technology making these devices smarter and more connected is improving almost daily. The real revolution is that mobile learning releases learners from the classroom where they are immobilized, and allows them to learn at "anytime, anyplace." In The Mobile Learning Edge, Dr. Gary Woodill outlines the most effective methodologies for training and engaging employees on the move and takes the person out of the classroom, while keeping learners connected to the information they need at all times. The Mobile Learning Edge features: Information on the social media and enabled devices that can serve your mobile learning Concrete strategies for how your business can use mobile learning to train, educate, and instruct employees anywhere Pointers on information gathering and analysis on the fly Innovative ideas for creating effective mobile learning experiences Comprehensive strategies for anticipating future mobile learning needs and developments You'll find a wealth of information about the history of this emerging field, retrieving information, methods for learning, applications, uses, and experiences--and how to put it all together to build a mobile learning system that’s right for your team. Using case studies, Woodill shows how you can emulate the successes of corporations like Nike, Accenture, and Merrill Lynch in using micro-blogging, cloud computing, mobile gaming, intermodal mashups, virtual worlds, collective intelligence, and other mobile learning platforms to take your business's recruitment, training, communication, and collaboration functions to the next level.
Publisher: McGraw Hill Professional
ISBN: 007173984X
Category : Business & Economics
Languages : en
Pages : 288
Book Description
Engage and teach your team wherever and whenever—from one of the world's leading e-learning authorities. The digital electronics revolution keeps us connected with almost anyone around the world and makes information available anywhere, at anytime. In the workplace, the impact has been great, propelling mobile learning to the forefront of training and education. Dr. Gary Woodill, a senior analyst at a leading e-learning research firm shows you how mobile learning is evolving, and how organizations can use it more efficiently and effectively--with companies reaping the rewards of increased communication, teamwork, productivity and profitability. Learn how to break free from the old notions of training and development with the concrete strategies in The Mobile Learning Edge and Become skilled in the seven principles of successfully training employees on the move Implement new learning programs that employees can access anywhere Develop a future mobile learning strategy in an ever-changing environment Discover what might be the right kind of mobile technologies for your company With The Mobile Learning Edge you'll go beyond applications and content and be able to create engaging and productive mobile learning for your team. According to a recent study, there's one mobile device for every two people in the world, and the technology making these devices smarter and more connected is improving almost daily. The real revolution is that mobile learning releases learners from the classroom where they are immobilized, and allows them to learn at "anytime, anyplace." In The Mobile Learning Edge, Dr. Gary Woodill outlines the most effective methodologies for training and engaging employees on the move and takes the person out of the classroom, while keeping learners connected to the information they need at all times. The Mobile Learning Edge features: Information on the social media and enabled devices that can serve your mobile learning Concrete strategies for how your business can use mobile learning to train, educate, and instruct employees anywhere Pointers on information gathering and analysis on the fly Innovative ideas for creating effective mobile learning experiences Comprehensive strategies for anticipating future mobile learning needs and developments You'll find a wealth of information about the history of this emerging field, retrieving information, methods for learning, applications, uses, and experiences--and how to put it all together to build a mobile learning system that’s right for your team. Using case studies, Woodill shows how you can emulate the successes of corporations like Nike, Accenture, and Merrill Lynch in using micro-blogging, cloud computing, mobile gaming, intermodal mashups, virtual worlds, collective intelligence, and other mobile learning platforms to take your business's recruitment, training, communication, and collaboration functions to the next level.
Mobile Assisted Language Learning
Author: Glenn Stockwell
Publisher: Cambridge University Press
ISBN: 1108629083
Category : Language Arts & Disciplines
Languages : en
Pages : 261
Book Description
The increased use of sophisticated mobile devices opens up new possibilities and challenges for language teachers and learners, which has led to an increasing need to consider issues relating to mobile technologies specifically. To date, there is no comprehensive book-length treatment of issues relating to mobile-assisted language learning (MALL). This book fills that gap, providing a resource for present and future language teachers, and for graduate students of applied linguistics and TESOL, to understand how mobile devices can best be used for language teaching. It is founded on existing research, practice and theory, and offers a balanced perspective, based on the author's own experiences with mobile learning - considering the limitations of such an approach, as well as the benefits. Written in a practical and approachable tone, it provides a much-needed guide to MALL, and its fascinating insights promote further debate within the field.
Publisher: Cambridge University Press
ISBN: 1108629083
Category : Language Arts & Disciplines
Languages : en
Pages : 261
Book Description
The increased use of sophisticated mobile devices opens up new possibilities and challenges for language teachers and learners, which has led to an increasing need to consider issues relating to mobile technologies specifically. To date, there is no comprehensive book-length treatment of issues relating to mobile-assisted language learning (MALL). This book fills that gap, providing a resource for present and future language teachers, and for graduate students of applied linguistics and TESOL, to understand how mobile devices can best be used for language teaching. It is founded on existing research, practice and theory, and offers a balanced perspective, based on the author's own experiences with mobile learning - considering the limitations of such an approach, as well as the benefits. Written in a practical and approachable tone, it provides a much-needed guide to MALL, and its fascinating insights promote further debate within the field.