For over 30 years, Tech & Learning has served the K-12 education community with practical resources and expert strategies for transforming education through integration of digital technologies. Tech & Learning is often used as a professional development tool to help educators across the board get up to speed with the newest technologies and products in order to best prepare students for the global digital workforce.
"I-Spy" is an imaginative four-part course for children starting English at primary school. The course develops communication skills and learning strategies, and offers a rich resource of stories, posters, flashcards, games, cut-outs, and optional activities, to cater for a range of abilities and learning styles.
This is a complete reference to all types of learning disabilities - their symptoms, causes, and treatments. "The Encyclopedia of Learning Disabilities, Second Edition" is a comprehensive guide to all types of learning disabilities, including how they function, how they can be diagnosed, and how they can be treated. Today, learning disabilities are becoming more and more common.
Go Blended!: A Handbook for Blending Technology in Schools
Go Blended! is a practical implementation guide for educators interested in getting blended learning off the ground. Author Liz Arney is a seasoned developer of blended learning programs at Aspire Public Schools, and she also closely collaborates with district and charter leaders from across the country on this work. Go Blended! offers boots-on-the-ground support for laying the foundation for a blended learning program in our schools and classrooms. Throughout the book teachers with blended learning experience share helpful tips and lesson plans to help educators make purposeful choices in using technology to fulfill students' needs without becoming an end in itself.
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series.
