Presents the report "A Nation at Risk: The Imperative for Educational Reform," provided by the National Commission on Excellence in Education. Includes findings and recommendations about the U.S. educational system. Lists members of the Commission and includes the Commission's charter and a schedule of its events. Contains commissioned papers, hearing testimony, and other presentations to the Commission. Offers information on notable programs and lists acknowledgments. Provides information on ordering the printed version and offers access to an ASCII version of the document for downloading. Links to the U.S. Department of Education home page and related publications.

E-learning is becoming integral to on-site education in universities worldwide, and the rapid explosion of interest in the subject means that this timely, cutting edge book will be an instant and indispensable resource. Among educators, the development of reusable learning objects made accessible via the internet is ever more important to teaching and learning at university. This book takes a studied look at the current state of online education, presenting advice on the creation, adaption and implementation of learning objects and metadata. Including articles written by some of the leading innovators in the field, this book takes the reader through: * designing effective learning objects * creating learning objects * transforming existing content into resuable learning objects * building a metadata management system This book will be essential reference material for course developers at university, postgraduate students, teachers and learners in the field of e-learning.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Why you need a writing revolution in your classroom and how to lead it The Writing Revolution (TWR) provides a clear method of instruction that you can use no matter what subject or grade level you teach. The model, also known as The Hochman Method, has demonstrated, over and over, that it can turn weak writers into strong communicators by focusing on specific techniques that match their needs and by providing them with targeted feedback. Insurmountable as the challenges faced by many students may seem, The Writing Revolution can make a dramatic difference. And the method does more than improve writing skills. It also helps: Boost reading comprehension Improve organizational and study skills Enhance speaking abilities Develop analytical capabilities The Writing Revolution is as much a method of teaching content as it is a method of teaching writing. There's no separate writing block and no separate writing curriculum. Instead, teachers of all subjects adapt the TWR strategies and activities to their current curriculum and weave them into their content instruction. But perhaps what's most revolutionary about the TWR method is that it takes the mystery out of learning to write well. It breaks the writing process down into manageable chunks and then has students practice the chunks they need, repeatedly, while also learning content.