Featuring classroom-tested material from the popular Advantage series, Ultimate Advantage workbooks now include Ultimate Advantage Quiz Cards. This dynamic new section features a snapshot review of each workbooks key concepts in a fun game format for independent or small-group play. Parents will especially appreciate this new hands-on learning feature as an easy-to-use extension of the workbook activities.
Featuring classroom-tested material from the popular Advantage series, Ultimate Advantage workbooks now include Ultimate Advantage Quiz Cards. This dynamic new section features a snapshot review of each workbooks key concepts in a fun game format for independent or small-group play. Parents will especially appreciate this new hands-on learning feature as an easy-to-use extension of the workbook activities.
Featuring classroom-tested material from the popular Advantage series, Ultimate Advantage workbooks now include Ultimate Advantage Quiz Cards. This dynamic new section features a snapshot review of each workbooks key concepts in a fun game format for independent or small-group play. Parents will especially appreciate this new hands-on learning feature as an easy-to-use extension of the workbook activities.
Featuring classroom-tested material from the popular Advantage series, Ultimate Advantage workbooks now include Ultimate Advantage Quiz Cards. This dynamic new section features a snapshot review of each workbooks key concepts in a fun game format for independent or small-group play. Parents will especially appreciate this new hands-on learning feature as an easy-to-use extension of the workbook activities.
All students face struggle, and they should—it is how they learn and grow. The teacher’s job is not to remove struggle, but rather to value and harness it, helping students develop good habits of productive struggle. But what’s missing for many educators is an action plan for how to achieve this, especially when it comes to math. This book guides teachers through six specific actions—including valuing, fostering, building, planning, supporting, and reflecting on struggle—to create a game plan for overcoming obstacles by sharing · Actionable steps, activities, and tools for implementation · Instructional tasks representative of each grade level · Real-world examples showcasing classroom photos and student work
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Have you ever dreamed of an entire school reading your book? Would you like to double (or more!) your writing income? With advice and insights that are adaptable to getting your book in front of audiences ranging from middle grade to high school to college, and even to corporations, this book is for you!
Teaching at Its Best This third edition of the best-selling handbook offers faculty at all levels an essential toolbox of hundreds of practical teaching techniques, formats, classroom activities, and exercises, all of which can be implemented immediately. This thoroughly revised edition includes the newest portrait of the Millennial student; current research from cognitive psychology; a focus on outcomes maps; the latest legal options on copyright issues; and how to best use new technology including wikis, blogs, podcasts, vodcasts, and clickers. Entirely new chapters include subjects such as matching teaching methods with learning outcomes, inquiry-guided learning, and using visuals to teach, and new sections address Felder and Silverman's Index of Learning Styles, SCALE-UP classrooms, multiple true-false test items, and much more. Praise for the Third Edition of Teaching at Its BestEveryone veterans as well as novices will profit from reading Teaching at Its Best, for it provides both theory and practical suggestions for handling all of the problems one encounters in teaching classes varying in size, ability, and motivation." Wilbert McKeachie, Department of Psychology, University of Michigan, and coauthor, McKeachie's Teaching TipsThis new edition of Dr. Nilson's book, with its completely updated material and several new topics, is an even more powerful collection of ideas and tools than the last. What a great resource, especially for beginning teachers but also for us veterans!" L. Dee Fink, author, Creating Significant Learning ExperiencesThis third edition of Teaching at Its Best is successful at weaving the latest research on teaching and learning into what was already a thorough exploration of each topic. New information on how we learn, how students develop, and innovations in instructional strategies complement the solid foundation established in the first two editions." Marilla D. Svinicki, Department of Psychology, The University of Texas, Austin, and coauthor, McKeachie's Teaching Tips
In this 2nd edition of Focus: Elevating the Essentials to Radically Improve Student Learning, Mike Schmoker extends and updates the case that our schools could be on the cusp of swift, unparalleled improvements. But we are stymied by a systemwide failure to simplify and prioritize; we have yet to focus our limited time and energy on the most essential, widely acknowledged, evidence-based practices that could have more impact than all other initiatives combined. They are: simple, coherent curricula; straightforward, traditional literacy practices; and lessons built around just a few hugely effective elements of good teaching. As Schmoker demonstrates, the case for these practices—and the need for them—has grown prodigiously. In every chapter, you’ll find late-breaking discoveries and practical advice on how to simplify the implementation of new state standards in the subject areas; on the hidden pitfalls of our most popular, but unproven instructional fads and programs; and on simple, versatile strategies for building curriculum, planning lessons, and integrating literacy into every discipline. All of these strategies and findings are supported with exciting new evidence from actual schools. Their success confirms, as Michael Fullan writes, that a focus on the best "high-leverage practices" won’t only improve student performance; they will produce "stunningly powerful consequences" in our schools.
