The Perfect Online Course
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The Perfect Online Course
The Perfect Online Course: Best Practices for Designing and Teaching was edited under the assumption that a perfect online course can be delivered following different instructional methods and models for design and for instruction, and by implementing different teaching or instructional strategies. Such methods, models, and strategies are framed within quality educational guidelines and must be aimed towards attaining the online course’s learning goals. The book seeks to make a contribution to the existing body of literature related to best practices and guidelines for designing and teaching distance courses, specifically online education. The process of selecting works suitable for this compilation included an extensive review of the journals Quarterly eview of Distance Education and Distance Learning. The book begins by covering literature related to general approaches and guidelines, continues with proposed methods and models for designing and instruction, and ends with instructional strategies to achieve engagement through interaction. The book is divided into four independent, yet interrelated, parts and a concluding section: Part I: Introduction; Part II: Best Guidelines and Standards; Part III: Best Instructional Methods and Models; Part IV: Best Engagement Strategies; and the concluding section, And Finally…, with words from Simonson who delineates the structure of a perfect online course.
Learning How to Learn
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Deep Learning for Coders with fastai and PyTorch
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