Teaching Beginner ELLs Using Picture Books

2012-09-12

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Author: Ana Lado
Publisher: Corwin Press
ISBN: 1452235236
Category : Education
Languages : en
Pages : 225

For beginning ELLs, a picture really is worth a thousand words! Picture books can unlock puzzling cultural and social meanings for students at all ages and grade levels. ELL educator Ana Lado illustrates how picture books are an especially useful tool for building important language and social foundations--foundations that students may miss through traditional instruction. Lado provides all the tools you need to engage your ELLs with picture books, including how to design lesson plans around themed units, select appropriate picture books using specific criteria, incorporate fun and engaging strategies like singing and reenacting, integrate picture-book learning to facilitate development of English language proficiency. In addition, you will gain access to a searchable online database to find just the right book for your lessons, based on author, title, genre, and English language proficiency level. With practical classroom-friendly techniques, Teaching Beginner ELLs Using Picture Books helps you transform your lessons into richly illustrated learning opportunities.

Teaching Beginning Guitar Class

2017-09-20

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Author: Bill Swick
Publisher: Oxford University Press
ISBN: 0190661933
Category : Music
Languages : en
Pages : 152

As guitar instruction increases in popularity in secondary schools, many band, choir, and orchestra teachers are asked to teach guitar. In one helpfully concise volume, Teaching Beginning Guitar Class: A Practical Guide provides all of the practical tools that are necessary to teach guitar in the classroom, especially for music instructors who are not guitar specialists. Formatted to follow the school year from summer planning to opening weeks of the fall semester to a week-to-week timeline for the full school year, Teaching Beginning Guitar Class encompasses all possible needs for a non-guitar playing music instructor navigating the world of guitar instruction in a classroom setting. In twelve expertly organized chapters, author and veteran guitar teacher Bill Swick gives hard and fast guides for instruction, providing reassurance alongside invaluable tips for novice guitar educators. This book addresses questions such as 'I Do Not Play Guitar, Why Do I have to Teach Guitar?'; 'What is the Classroom Lifespan of a Guitar?'; and 'New Students in January?' while also providing practical solutions including basic setup, how to select the correct method book, and equipment maintenance.

Beginning Teachers' Learning

2015-04-27

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Author: Katharine Burn
Publisher: Critical Publishing
ISBN: 1910391204
Category : Education
Languages : en
Pages : 74

International trends in initial teacher education (ITE) and induction increasingly emphasise the importance of school-based learning for beginning teachers, and recent policy shifts have given many more schools a leading role in ITE. This book focuses directly on what has been learned from within well-established partnerships about the nature of beginning teachers' learning in schools and explores the ways in which teacher educators - both those that are school-based and those in universities who work in partnership with them - can most effectively support that learning. Beginning Teaching is part of the successful Critical Guides for Teacher Educators series edited by Ian Menter.

Bloomsbury Curriculum Basics: Teaching Primary Spanish

2016-03-24

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Author: Amanda Barton
Publisher: Bloomsbury Publishing
ISBN: 1472920732
Category : Education
Languages : en
Pages : 121

This book is closely tied to the new curriculum, with extracts from the curriculum itself and lesson plans and teaching ideas for every area. This book will equip non-specialists to confidently deliver engaging and well-informed lessons, that acount for the changes in the National Curriculum. This is a very practical and easy to apply programme for teaching Spanish either in your own classroom, or to implement across the school in the role of a co-ordinato

Teach'n Beginning Defensive Fencing Drills,Strategies, and Games Free Flow Handbook

PDF Teach'n Beginning Defensive Fencing Drills,Strategies, and Games Free Flow Handbook Download

Author:
Publisher: Bob Swope, Jacobob Press
ISBN: 0986036153
Category :
Languages : en
Pages :

Deep Learning for Beginners

2018-11-06

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Author: Steven Cooper
Publisher: Roland Bind
ISBN:
Category : Computers
Languages : en
Pages : 83

☆★The Best Deep Learning Book for Beginners★☆ If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading. This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies which show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley. This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible. ★★ Grab your copy today and learn ★★ ♦ Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. ♦ The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. ♦ The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. ♦ The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. ♦ And much more... The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow. This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch. When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in? If you want to get started on deep learning and the concepts that run artificial technologies, don't wait any longer. Scroll up and click the buy now button to get this book today!

Deep Learning with R for Beginners

2019-05-20

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Author: Mark Hodnett
Publisher: Packt Publishing Ltd
ISBN: 1838647228
Category : Computers
Languages : en
Pages : 605

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook Description Deep learning finds practical applications in several domains, while R is the preferred language for designing and deploying deep learning models. This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you’ll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The book will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you’ll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R. By the end of this Learning Path, you’ll be well versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects. This Learning Path includes content from the following Packt products: R Deep Learning Essentials - Second Edition by Joshua F. Wiley and Mark HodnettR Deep Learning Projects by Yuxi (Hayden) Liu and Pablo MaldonadoWhat you will learnImplement credit card fraud detection with autoencodersTrain neural networks to perform handwritten digit recognition using MXNetReconstruct images using variational autoencodersExplore the applications of autoencoder neural networks in clustering and dimensionality reductionCreate natural language processing (NLP) models using Keras and TensorFlow in RPrevent models from overfitting the data to improve generalizabilityBuild shallow neural network prediction modelsWho this book is for This Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. A fundamental understanding of R programming and familiarity with the basic concepts of deep learning are necessary to get the most out of this Learning Path.

Python Machine Learning For Beginners

2019-05-22

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Author: Finn Sanders
Publisher: Roland Bind
ISBN:
Category : Computers
Languages : en
Pages : 105

Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin? This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it. If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with machine learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start. If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you. ★★Some of the topics that we will discuss include★★ ♦ The Fundamentals of Machine Learning, Deep learning, And Neural Networks ♦ How To Set Up Your Environment And Make Sure That Python, TensorFlow And Scikit-Learn Work Well For You ♦ How To Master Neural Network Implementation Using Different Libraries ♦ How Random Forest Algorithms Are Able To Help Out With Machine Learning ♦ How To Uncover Hidden Patterns And Structures With Clustering ♦ How Recurrent Neural Networks Work And When To Use ♦ The Importance Of Linear Classifiers And Why They Need To Be Used In Machine Learning ♦ And Much More! This guidebook is going to provide you with the information you need to get started with Python Machine Learning. If you have an idea for a great program, but you don't have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like. If you want to learn more about how to make the best programs with Python Machine learning, buy the book today!

Machine Learning For Absolute Beginners

2023-06-19

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Author: Dr. M. Dhinakaran ,Prof. P. Deepthi, Dr. S. Shyni Carmel Mary ,Mr. Arpit Namdev
Publisher: Booksclinic Publishing
ISBN: 9355359934
Category : Education
Languages : en
Pages : 207

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Beginning Primary Teaching

2006-05-01

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Author: Jacklin, Angela
Publisher: McGraw-Hill Education (UK)
ISBN: 033521908X
Category : Education
Languages : en
Pages : 214

Beginning Primary Teachingsupports primary teachers' early professional development and learning, tackling key questions and concerns that new teachers might face in their early careers, such as: How will I get through the first term? When will I feel like a â€˜realâ€™ teacher? What can I expect from my first years in teaching? Drawing on the experiences of beginning primary teachers themselves, this is an authentic account of their crucial early teaching experiences, challenges and achievements. As well as providing a research-based context, the book is firmly grounded in the day-to-day practices of education professionals working with young people in schools, and offers valuable practical guidance for new teachers. By illustrating and exploring early experiences in teaching, this book helps primary teachers to understand their early professional development and learning and helps them to reflect on their own practice as well as that of others, offering a source of practical support throughout the important early years of their careers. Beginning Primary Teachingis essential reading for all new primary teachers, including those completing initial teacher training, newly qualified and early career teachers, as well as the growing number entering teaching through employment-based routes.