Learning and Living in the 21st Century 4 Teacher's Manual1st Ed. 2007 PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Learning and Living in the 21st Century 4 Teacher's Manual1st Ed. 2007 PDF full book. Access full book title Learning and Living in the 21st Century 4 Teacher's Manual1st Ed. 2007 by . Download full books in PDF and EPUB format.
Author: Myint Swe Khine Publisher: Springer ISBN: 3319577867 Category : Science Languages : en Pages : 260
Book Description
This book describes recent approaches in advancing STEM education with the use of robotics, innovative methods in integrating robotics in school subjects, engaging and stimulating students with robotics in classroom-based and out-of-school activities, and new ways of using robotics as an educational tool to provide diverse learning experiences. It addresses issues and challenges in generating enthusiasm among students and revamping curricula to provide application focused and hands-on approaches in learning . The book also provides effective strategies and emerging trends in using robotics, designing learning activities and how robotics impacts the students’ interests and achievements in STEM related subjects. The frontiers of education are progressing very rapidly. This volume brought together a collection of projects and ideas which help us keep track of where the frontiers are moving. This book ticks lots of contemporary boxes: STEM, robotics, coding, and computational thinking among them. Most educators interested in the STEM phenomena will find many ideas in this book which challenge, provide evidence and suggest solutions related to both pedagogy and content. Regular reference to 21st Century skills, achieved through active collaborative learning in authentic contexts, ensures the enduring usefulness of this volume. John Williams Professor of Education and Director of the STEM Education Research Group Curtin University, Perth, Australia
Author: Judith A. Langer Publisher: ISBN: Category : Language Arts & Disciplines Languages : en Pages : 188
Book Description
In the belief that effective writing instruction can be a critical component in successful learning, and to better understand the role that writing plays in content area learning, this book presents an extensive study of writing assignments in the secondary school curriculum. Following an introduction, the book provides an overview of the project, chapters 1 and 2 highlighting the data gathered and analytical methods used. The third chapter of the book provides a detailed introduction to the observations of teachers and their students, with some general findings about ways in which they used writing in the teaching of academic subjects. The fourth chapter describes the types of writing activities that worked in aa variety of content-area classrooms. Chapter 5 shifts focus away from the activities provided and toward the redefinition of teaching and learning that occurred in the classrooms where writing worked best to foster learning. Chapters 6 through 8 examine the kinds of thinking promoted by different types of writing in the classroom. The final chapter brings together concerns about the roles of teacher and learner in the instructional interaction, providing a theoretical framework, practical suggestions for an alternative model of instruction, and a discussion of the constraints that must be addressed if wide-scale use of writing to support learning is to become a reality. A five-page reference list and two appendices are included. (HTH)
Author: Steven S. Skiena Publisher: Springer ISBN: 3319554441 Category : Computers Languages : en Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)