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Provides support for the Science Enquiry strand of the National Strategy for Science. This photocopiable pack can be used as a comprehensive set of integrated investigatinal resources. It contains both student and teacher material 'back to back' for easy reference. It provides a range of materials allowing for individual and group work.
The Art & Science of Web Design will help you understand the Web from the inside. It is structured around core Web concepts that often get only a passing mention in books on Web design. This book is not a reference book or a style guide. It is your mentor, whispering in your ear all the answers to those ubiquitous questions, and reminding us that there are now new rules and new ways to break them.
Originally published as Foundations and trends in web science; vol. 1, issue 1.
In this volume, the authors provide a comprehensive summary of the literature on this method of data collection that is rapidly growing in popularity. The book includes new syntheses of the authors' work and other important research on Web surveys, including a meta-analysis of studies that compare reports on sensitive topics in Web surveys with reports collected in other modes of data collection.
This textbook follows the QCA Scheme of Work. It has extended page layout to allow full coverage of topics and learning objectives and learning methods to support student planning and learning at the start of each chapter. Ideas and evidence in science are fully supported and homework and revision questions are included at the end of each chapter.
Although written simply enough to be accessible to undergraduates, accomplished scholars are likely to appreciate it too. Reading it taught me quite a lot about a subject I thought I knew rather well. - Paul Vogt, Illinois State University "This book brings the art and science of building and applying innovative online research tools to students and faculty across the social sciences." - William H. Dutton, University of Oxford A comprehensive guide to the theory and practice of web Social Science. This book demonstrates how the web is being used to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as Facebook and Twitter. It also illuminates how the advent of the web has led to traditional social science concepts and approaches being combined with those from other scientific disciplines, leading to new insights into social, political and economic behaviour. Situating social sciences in the digital age, this book aids: understanding of the fundamental changes to society, politics and the economy that have resulted from the advent of the web choice of appropriate data, tools and research methods for conducting research using web data learning how web data are providing new insights into long-standing social science research questions appreciation of how social science can facilitate an understanding of life in the digital age It is ideal for students and researchers across the social sciences, as well as those from information science, computer science and engineering who want to learn about how social scientists are thinking about and researching the web.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
2018 Outstanding Academic Title, Choice Ambitious Science Teaching outlines a powerful framework for science teaching to ensure that instruction is rigorous and equitable for students from all backgrounds. The practices presented in the book are being used in schools and districts that seek to improve science teaching at scale, and a wide range of science subjects and grade levels are represented. The book is organized around four sets of core teaching practices: planning for engagement with big ideas; eliciting student thinking; supporting changes in students’ thinking; and drawing together evidence-based explanations. Discussion of each practice includes tools and routines that teachers can use to support students’ participation, transcripts of actual student-teacher dialogue and descriptions of teachers’ thinking as it unfolds, and examples of student work. The book also provides explicit guidance for “opportunity to learn” strategies that can help scaffold the participation of diverse students. Since the success of these practices depends so heavily on discourse among students, Ambitious Science Teaching includes chapters on productive classroom talk. Science-specific skills such as modeling and scientific argument are also covered. Drawing on the emerging research on core teaching practices and their extensive work with preservice and in-service teachers, Ambitious Science Teaching presents a coherent and aligned set of resources for educators striving to meet the considerable challenges that have been set for them.
Results. Everyone wants them, whether to sell more products, spread good ideas, or win more funding. In our busy digital world, the way to results is influencing people on the web. But how? An ad campaign won't cut it. A Twitter account doesn't guarantee it. Manipulative tricks will backfire. Instead, you need quality, compelling web content that attracts people and engages them for the long haul. Clout explains the key principles of influence and how to apply them to web content. Along the way, those principles come to life with lots of practical examples. With this book, you'll: Discover why a technology feature, marketing campaign, SEO effort, or redesign aren't enough to influence online. Understand the business value of compelling web content. Learn 8 principles for influence from the art of rhetoric and the science of psychology. Find out what context is and why it's so important to influence. Jump start your planning for content over time with patterns and diagrams. Learn the basics of evaluation to determine whether your web content is making a difference.
The book will focus on exploiting state of the art research in semantic web and web science. The rapidly evolving world-wide-web has led to revolutionary changes in the whole of society. The research and development of the semantic web covers a number of global standards of the web and cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web scale computing. These proceedings are from the 6th Chinese Semantics Web Symposium.