It is surprising that there is so little research on textbooks, given their centrality to teaching and learning in elementary and secondary schools. Textbooks have become a focus of political and cultural controversy, advocating a multicultural curriculum that has sparked some vigorous protests. Research is absent in this debate; therefore, questions of legitimate knowledge, the role of textbooks, textbook design, policy selection issues, and economic issues concerning the marketplace are not part of the current debate. Without insights of research on considerate text, mentioning, illustrations and so forth, the current controversy will result in publishers responding to demands for more content not less; thus, textbooks will become compendia of information that on the surface satisfy everyone. This volume demonstrates how research on important issues relative to textbook design can advance our knowledge about what makes textbooks effective learning tools, and thus inform policymakers, publishers, and those involved in textbook selection. Representing pure and applied approaches, researchers present papers on the quality of writing, the role of questions, the role of pictures and illustrations, and the role of auxiliary materials in the design of effective textbooks. The chapters provide insight into research and its application to textbook design and improvement -- stimulating others to follow this lead.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

"As elegantly practical as it is theoretically elegant. It is a guided tour, as one examines the tools of expert teachers as they engage students in a journey that is aptly dubbed Reading Apprenticeship?learning how to become a savvy, strategic reader under the tutelage of thoughtful, caring, and demanding teachers.? P. David Pearson, University of California, Berkeley, and founding editor of the Handbook of Reading Research. Reading for Understanding is a monumental achievement. It was a monumental achievement when it came out as a first edition in 1999, bringing years of rigorous reading research together in a framework for teaching that made sense in actual secondary school classrooms. Now, just thirteen years later, Schoenbach and Greenleaf have several randomized clinical trials and multiple on-going studies at their fingertips to demonstrate the effects of this approach for developing the reading and thinking of young people in our nation?s middle and high school classrooms, as well as in community college classrooms. Their careful work on developing disciplinary literacy among all students represents a passion for and commitment to supporting students?and their teachers?in reading for understanding, which translates to reading for enjoyment, self-awareness, learning, and for purposeful and informed action in our society. ?Elizabeth Moje, Arthur F. Thurnau Professor and Associate Dean for Research, School of Education, University of Michigan Reading Apprenticeship has proven to be an inspiration to Renton Technical College faculty and students alike. They have learned together to view themselves as readers in transformative ways, as they embrace powerful techniques to increase reading comprehension. The ideas and strategies in Reading for Understanding anchor this new and broad-based energy around reading and an enthusiasm among our faculty to model effective reading strategies for our students. ?Steve Hanson, President, Renton Technical College, Renton, Washington Reading for Understanding has the finest blend I have seen of research, strategies, and classroom vignettes to deepen teacher learning and help them connect the dots between theory and practice. ?Curtis Refior, Content Area Literacy Coach, Fowlerville Community Schools, Fowlerville, Michigan A teacher-tested, research-based resource for dramatically improving reading skills Published in partnership with WestEd, this significantly updated second edition of the bestselling book contains strategies for helping students in middle school through community college gain the reading independence to master subject area textbooks and other material. Based on the Reading Apprenticeship program, which three rigorous "gold standard" research studies have shown to be effective in raising students' reading achievement Presents a clear framework for improving the reading and subject area learning of all students, including English learners, students with special needs, as well as those in honors and AP courses Provides concrete tools for classroom use and examples from a range of classrooms Presents a clear how-to for teachers implementing the subject area literacies of the Common Core Standards Reading for Understanding proves it's never too late for teachers and students to work together to boost literacy, engagement, and achievement.

School tells you WHAT to learn. Matt DiMaio shows you HOW to learn it! Online Learning, E-Learning, Remote Learning, it doesn't matter what you call it, students from grade school to graduate school are facing unfamiliar struggles and difficulties that can quickly be overcome with the right strategies. The challenges are unique... and so is the solution.Inside "Straight 'A' Strategies for SUCCESSFUL ONLINE LEARNING", you will discover the fastest, easiest way to complete your online learning classwork in less time, get better grades, and reduce your stress!Not mere philosophy or generic suggestions, inside this book you will get practical, proven strategies that are already working for students across the globe. These powerful tips, tactics and techniques are immediately useful, easy to apply, and will enable you to become extremely successful with your e-learning classes.The valuable ideas presented here are currently delivering real-world results to students of every age, nationality, and course of study... and they will help YOU too.You will learn exactly how to: Reduce Your Stress, Be More Motivated To Study, Eliminate Wasted Time & Effort, Understand Your Classwork Better, Remember and Retain Your Lessons, Perform Better On Tests, Enjoy Your Online Class Experience, GET BETTER GRADES!