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"Every student deserves a great teacher, not by chance, but by design" — Douglas Fisher, Nancy Frey, & John Hattie What if someone slipped you a piece of paper listing the literacy practices that ensure students demonstrate more than a year’s worth of learning for a year spent in school? Would you keep the paper or throw it away? We think you’d keep it. And that’s precisely why acclaimed educators Douglas Fisher, Nancy Frey, and John Hattie wrote Visible Learning for Literacy. They know teachers will want to apply Hattie’s head-turning synthesis of more than 15 years of research involving millions of students, which he used to identify the instructional routines that have the biggest impact on student learning. These practices are "visible" for teachers and students to see, because their purpose has been made clear, they are implemented at the right moment in a student’s learning, and their effect is tangible. Yes, the "aha" moments made visible by design. With their trademark clarity and command of the research, and dozens of classroom scenarios to make it all replicable, these authors apply Hattie’s research, and show you: How to use the right approach at the right time, so that you can more intentionally design classroom experiences that hit the surface, deep, and transfer phases of learning, and more expertly see when a student is ready to dive from surface to deep. Which routines are most effective at specific phases of learning, including word sorts, concept mapping, close reading, annotating, discussion, formative assessment, feedback, collaborative learning, reciprocal teaching, and many more. Why the 8 mind frames for teachers apply so well to curriculum planning and can inspire you to be a change agent in students’ lives—and part of a faculty that embraces the idea that visible teaching is a continual evaluation of one’s impact on student’s learning. "Teachers, it’s time we embrace the evidence, update our classrooms, and impact student learning in wildly positive ways," say Doug, Nancy, and John. So let’s see Visible Learning for Literacy for what it is: the book that renews our teaching and reminds us of our influence, just in time.
A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
Help students move from surface-level learning to the transfer of understanding. How do social studies teachers maximize instruction to ensure students are prepared for an informed civic life? VISIBLE LEARNING® for Social Studies, Grades K-12 shows how the field is more than simply memorizing dates and facts—it encapsulates the skillful ability to conduct investigations, analyze sources, place events in historical context, and synthesize divergent points of view. The Visible Learning framework demonstrates that learning is not an event, but rather a process in which students move from surface-level learning to deep learning, and then onto the transfer of concepts, skills, and strategies. Encouraging learners to explore different facets of society, history, geography, and more, best practices for applying visible learning to social studies curriculum are presented through: · A scaffolded approach, including surface-level learning, deep learning, and transfer of learning · Examples of strategies, lessons, and activities best suited for each level of learning · Planning tools, rubrics, and templates to guide instruction Teachers must understand the impact they have on students and select approaches to maximize that impact. This book will guide you through the process of identifying the right strategy for the right time to successfully move students through surface, deep, and transfer learning.
Cultivating motivation is crucial to a language learner's success – and therefore crucial for the language teacher and researcher to understand. The third edition of Teaching and Researching Motivation reflects the dramatic changes in the field of motivation research. With an increased emphasis on dynamic perspectives on motivation and its relations with other individual, social and contextual factors, this book offers ways in which advances in the field can be put to practical use in the classroom and in research. Key new features and material: exploration of the motivation to learn languages other than English (LOTEs); principles for designing L2 motivational studies; discussion of emerging areas of research, including unconscious motivation and language learning mindsets. Providing a clear and comprehensive theory-driven account of motivation, Teaching and Researching Motivation examines how theoretical insights can be used in everyday teaching practice. The final section provides a range of useful resources, including relevant websites, key reference works and an online repository of tools and instruments for researching language learning motivation. Fully revised by pre-eminent researchers in this field, Zoltán Dörnyei and Ema Ushioda, this is an invaluable resource for teachers and researchers alike.
Introduction. Historical Overview. Databases: Office Information Systems Engineering (J. Palazzo, D. Alcoba) Artificial Intelligence, Logic, and Functional Programming: A HyperIcon Interface to a Blackboard System for Planning Research Projects (P. Charlton, C. Burdorf). Algorithms and Data Structures: Classification of Quadratic Algorithms for Multiplying Polynomials of Small Degree Over Finite Fields (A. Averbuch et al.). Object Oriented Systems: A Graphical Interactive Object Oriented Development System (M. Adar et al.). Distributed Systems: Preserving Distributed Data Coherence Us.
This book looks at a number of topics in economic education, presenting multiple perspectives from those in the field to anyone interested in teaching economics. Using anecdotes, classroom experiments and surveys, the contributing authors show that, with some different or new techniques, teaching economics can be more engaging for students and help them better retain what they learned. Chapters cover a wide range of approaches to teaching economics, from interactive approaches such as utilizing video games and Econ Beats, to more rigorous examinations of government policies, market outcomes and exploring case studies from specific courses. Many of the chapters incorporate game theory and provide worked out examples of games designed to help students with intuitive retention of the material, and these games can be replicated in any economics classroom. While the exercises are geared towards college-level economics students, instructors can draw inspiration for course lectures from the various approaches taken here and utilize them at any level of teaching. This book will be very useful to instructors in economics interested in bringing innovative teaching methods into the classroom.