Android Wear is the operating system that can be found on many smartwatches and other wearable devices. This is a powerful tool especially when it is paired with phones that are running the Android version 4.3 or iOS 8.2 or later. The Android Wear currently has support for Google Now and mobile notifications. Additionally, they now have the ability to download applications from the Google Play Store. There is also support for Wi-Fi and Bluetooth connectivity with other features and applications.
The Science I Know: Culturally Relevant Science Lessons from Secondary Classrooms is a collection of culturally relevant lesson plans written by secondary science teachers. Each lesson discusses how the tenets of academic success, cultural competence and critical consciousness that are part of the theory of Culturally Relevant Pedagogy (CRP) are addressed (Ladson-Billings, 1995). Additionally, each lesson plan is structured following the 5E learning cycle (Bybee, 2006) and aligned to the Next Generation Science Standards (NAS, 2012). The goal of this book is to help science teachers understand how to go about designing lessons that are culturally relevant. The hope is that the lessons that are detailed in each chapter will inspire teachers to draw the cultural knowledge from their students and capitalize on it when designing science lessons. After an introductory chapter that discusses how science education has shifted in recent decades to address the needs of diverse students, the main body of the text is divided into three sections. The first part introduces Culturally Relevant Pedagogy (CRP) as a framework; this is important for those readers unfamiliar with Gloria Ladson-Billings’ work. It addresses and discusses the three tenets of CRP (Academic Success, Cultural Competence and Critical Consciousness) and it includes an explanation of how each area can be observed and addressed in science education specifically. The second part features lesson plans from secondary science classrooms written by teachers from different subject areas (i.e., life science, physical science, earth science, etc.). The lesson plans follow the 5E Instructional Model (Bybee et. al., 2006). This model promotes inquiry by guiding teachers in the design of lesson plans that are “based upon cognitive psychology, constructivist-learning theory, and best practices in science teaching.” (Duran & Duran, 2004). A brief snapshot of each teacher precedes each lesson plan. A discussion about how each of the CRP tenets is observed appears after each lesson plan. Finally, each plan featured has a section that addresses the concepts of Funds of Knowledge (Moll et al., 1992). This concept guides teachers in the process of identifying and maximizing students’ cultural capital in the classroom. Each lesson plan chapter concludes with questions for further consideration for teachers. The last part of the book features best practices for teachers when preparing and planning to implement culturally relevant practices in their classrooms, as well as a lesson plan template for teachers. The Science I Know is not only essential reading for all science teachers interested in utilizing culturally relevant instructional practices in their classroom, but also a valuable tool in the instruction of pre-service teachers in Colleges of Education. The book’s structure is ideal for classroom use. Perfect for courses such as: Foundations of Cultural Studies in Education; Education and Culture; Learner Differences; Secondary Science Pedagogy; Culturally Relevant Science; and Multicultural Education
Build Android N applications using modern techniques and libraries to get your own high-quality apps published on Google Play in no time About This Book Get started with Android development, from the installation of required tools to publishing to the market Make your applications Android N ready—Android has evolved quite a lot since the very beginning and so has their Software Development Kit—so get up to speed Save time and improve the quality of your applications with widely used open source libraries and dependency management Who This Book Is For Want to get started with Android development? Start here. What You Will Learn Get to know how to use popular open source libraries to reduce time to market and avoid re-inventing the wheel Automate your application's testing phase to avoid last minute crashes Use dependency management to properly keep dependencies and updates under control Efficiently show huge amounts of items in a list Forget about memory and speed concerns Publish and monetize your Android applications on Google Play Persist your application data so it can continue working in offline mode Don't let the UX break because of network issues In Detail The mobile app market is huge. But where do you start? And how you can deliver something that takes Google Play by storm? This guide is the perfect route into Android app development – while it's easy for new apps to sink without a trace, we'll give you the best chance of success with practical and actionable guidance that will unlock your creativity and help you put the principles of Android development into practice. From the fundamentals and getting your project started to publishing your app to a huge market of potential customers, follow this guide to become a confident, creative and reliable mobile developer. Get to grips with new components in Android 7 such as RecyclerView, and find out how to take advantage of automated testing, and, of course, much, much more. What are you waiting for? There's never been a better time – or a better way – to get into Android app development. Style and approach More than just a manual, this is an accessible route into Android development. Packed with examples that demonstrate how to put key concepts and ideas into practice, this guide isn't just about learning, it's about immediate development.
This book is aimed at providing a practical guidance and approach for utilizing TensorFlow in the real-world based on Python (a programming language). You are not expected to be an expert in Python or know Python at all. The book is intended for newcomers in the field of Machine Learning (ML) and Artificial Intelligence (AI), especially for those, who do not have any statistical background, but they are really interested to learn the details and approach of building a Machine Learning application. This book is also intended for experienced data scientists, Machine Learning engineers, who are generally too focused on building Machine Learning model(s), investing 60-70% of their time in making the model work with a greater level of accuracy, in some cases, they forget the real application and the use case of the application. In most of these cases they end up what we call “overfitting” of the model. The book is expected to focus on developing a Machine Learning application, and in the process detailing multiple real-world practical challenges, steps of a ML application(s). Honestly speaking, the book is meant for “lazy” engineers, aspiring data scientists, Machine Learning engineers, experienced IT professionals in other fields, who like the authors, hate reading through lengthy books with several hundred pages of mathematical models and equations to even getting started with Machine Learning. Many of us are looking for a book with not more than 100-150 pages to gain an understanding on Machine Learning, and it could be an icing on the cake if the book can do away with minimal to no mathematical equations. There are many books, articles, books, guides and documents published on Artificial Intelligence, Machine Learning, and most of them focus on mathematical equations, building models, they tend to be very lengthy spanning several hundred pages. Of-course, they are aimed at serving an exhaustive content for readers to get a deep understanding on the subjects. The aim of this book is not only to just discuss the Machine Learning models, but also focus on explaining the core of Machine Learning with simple examples on regression, classifications, etc. and then discuss a practical approach and steps to build a productionized Machine Learning models with a practical feature engineering. As you read through the book, hopefully the myths of AI and Machine Learning will be debunked, and you will get a very granular/basic to an implementation level understanding and approach of developing ML applications. At the time of writing and conceptualizing this book (in 2019) the authors ensured to keep the content precise, and limit the length of the book in the range of 100-150 pages for those “lazy” but smart engineers out there. After you read this book you can expect to understand the commonly used terminologies of Machine Learning, Artificial Intelligence, learn a little bit of Python enough to be able to write your own ML code, use TensorFlow to build productionized models.
NOTE: The exam this book covered, CompTIA IT Fundamentals (Exam FCO-U51), was retired by CompTIA in 2019 and is no longer offered. For coverage of the current exam CompTIA IT Fundamentals+: Exam FCO-U61, please look for the latest edition of this guide: CompTIA IT Fundamentals+ Study Guide: Exam FCO-U61 (9781119513124). Information Technology is not just about what applications you can use; it is about the systems you can support. The CompTIA IT Fundamentals certification is an introduction to the skills required to become a successful systems support professional, progressing onto more advanced certifications and career success. The Sybex CompTIA IT Fundamentals Study Guide covers 100% of the exam objectives in clear and concise language and provides you authoritatively with all you need to know to succeed in the exam. Along with gaining preventative maintenance skills, you will also develop the tools to complete troubleshooting and fault resolution and resolve common issues experienced by the majority of computer systems. The exam focuses on the essential IT skills and knowledge needed to perform tasks commonly performed by advanced end-users and entry-level IT professionals alike, including: Identifying and explaining computer components Setting up a workstation, including conducting software installations Establishing network connectivity Identifying compatibility issues and identifying and preventing security risks Managing the safety and preventative maintenance of computers Practical examples, exam highlights and review questions provide real-world applications and uses. The book includes Sybex's interactive online learning environment and test bank with an assessment test, chapter tests, flashcards, and a practice exam. Our study tools can help you prepare for taking the exam???and increase your chances of passing the exam the first time!
In the era of the mobility accessing apps on mobile for day to day operation are very common. Software development drastically move towards mobile application development for each enterprise software. With this high demand of mobile apps in the market creates new opportunity for software developers to come up with new ideas. In mobile domain two major platforms plays important role in the market. One is android and second one is iOS. Being open source android becomes very popular in short amount of time. We are talking about android app development in this book. This book will help you to learn android app development from setting up development environment to bare minimal android app. It covers from basic to advance for no voice android developer. You will find most of the topics which covers android app development. Like: 1. Basics of android studio IDE 2. Project setup 3. Various Layouts 4. Widgets like buttons, text box ,checkbox and radio buttons 5. Events handling 6. Navigation patterns for a large scale app 7. Data Storage mechanism 8. Rest API 9. Access device contents like contacts In general book covers a very comprehensive guide for a beginner for getting started android development and discuss each topics step by step. We have also demonstrated some practical example for each concepts listed above.
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture patterns: The technical basis for many architectural decisions Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, meetings, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture
This is an open access book. The 4th Vocational Education International Conference (VEIC 2022) is an annual and internationally - refereed conference. The main objective of VEIC 2022 is to provide an international platform for researchers, practitioners, stakeholders in the field of vocational education to discuss about the issue and challenges in the field of Technology and Vocational Education. The main theme of VEIC 2022 is Post-pandemic Challenge in Technical and Vocational Education and Training of Higher Education.
Here is a useful and reassuring guide for library staff who find themselves newly responsible for technology training - whether in computer labs, classrooms, or one-to-one with library users. Author Stephanie Gerding addresses the most common concerns of new trainers, recommends proven tools and techniques, and shares helpful advice from many of her fellow library tech trainers. The book is designed to help staff get up to speed quickly, showing them how to integrate expert tips and tricks and leverage their natural skills to ensure excellent results in any library technology training situation.
This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “learning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
