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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.
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.
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
The best classes have a life of their own, powered by student-led conversations that explore texts, ideas, and essential questions. In these classes, the teacher’s role shifts from star player to observer and coach as the students ▪ Think critically, ▪ Work collaboratively, ▪ Participate fully, ▪ Behave ethically, ▪ Ask and answer high-level questions, ▪ Support their ideas with evidence, and ▪ Evaluate and assess their own work. The Spider Web Discussion is a simple technique that puts this kind of class within every teacher’s reach. The name comes from the weblike diagram the observer makes to record interactions as students actively participate in the discussion, lead and support one another’s learning, and build community. It’s proven to work across all subject areas and with all ages, and you only need a little know-how, a rubric, and paper and pencil to get started. As students practice Spider Web Discussion, they become stronger communicators, more empathetic teammates, better problem solvers, and more independent learners—college and career ready skills that serve them well in the classroom and beyond. Educator Alexis Wiggins provides a step-by-step guide for the implementation of Spider Web Discussion, covering everything from introducing the technique to creating rubrics for discussion self-assessment to the nuts-and-bolts of charting the conversations and using the data collected for formative assessment. She also shares troubleshooting tips, ideas for assessment and group grading, and the experiences of real teachers and students who use the technique to develop and share content knowledge in a way that’s both revolutionary and truly inspiring.
What has 12 feet, three tails, and sits in a window? Three bunnies, of course! During their walk through the town, two children and their grandfather tell each other riddles about what they see. Full color.
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.