Bringing together scholars from around the world, this collection examines many of the historical developments in making data visible through charts, graphs, thematic maps, and now interactive displays. Today, we are used to seeing data portrayed in a dizzying array of graphic forms. Virtually any quantified knowledge, from social and physical science to engineering and medicine, as well as business, government, or personal activity, has been visualized. Yet the methods of making data visible are relatively new innovations, most stemming from eighteenth- and nineteenth-century innovations that arose as a logical response to a growing desire to quantify everything-from science, economics, and industry to population, health, and crime. Innovators such as Playfair, Alexander von Humboldt, Heinrich Berghaus, John Snow, Florence Nightingale, Francis Galton, and Charles Minard began to develop graphical methods to make data and their relations more visible. In the twentieth century, data design became both increasingly specialized within new and existing disciplines-science, engineering, social science, and medicine-and at the same time became further democratized, with new forms that make statistical, business, and government data more accessible to the public. At the close of the twentieth century and the beginning of the twenty-first, an explosion in interactive digital data design has exponentially increased our access to data. The contributors analyze this fascinating history through a variety of critical approaches, including visual rhetoric, visual culture, genre theory, and fully contextualized historical scholarship.

Make learning visible in the early years Early childhood is a uniquely sensitive time, when young learners are rapidly developing across multiple domains, including language and literacy, mathematics, and motor skills. Knowing which teaching strategies work best and when can have a significant impact on a child’s development and future success. Visible Learning in Early Childhood investigates the critical years between ages 3 and 6 and, backed by evidence from the Visible Learning® research, explores seven core strategies for learning success: working together as evaluators, setting high expectations, measuring learning with explicit success criteria, establishing developmentally appropriate levels of learning, viewing mistakes as opportunities, continually seeking feedback, and balancing surface, deep, and transfer learning. The authors unpack the symbiotic relationship between these seven tenets through Authentic examples of diverse learners and settings Voices of master teachers from the US, UK, and Australia Multiple assessment and differentiation strategies Multidisciplinary approaches depicting mathematics, literacy, art and music, social-emotional learning, and more Using the Visible Learning research, teachers partner with children to encourage high expectations, developmentally appropriate practices, the right level of challenge, and a focus on explicit success criteria. Get started today and watch your young learners thrive!

Oxford Textual Perspectives is a new series of informative and provocative studies focused upon literary texts (conceived of in the broadest sense of that term) and the technologies, cultures and communities that produce, inform, and receive them. It provides fresh interpretations of fundamental works and of the vital and challenging issues emerging in English literary studies. By engaging with the materiality of the literary text, its production, and reception history, and frequently testing and exploring the boundaries of the notion of text itself, the volumes in the series question familiar frameworks and provide innovative interpretations of both canonical and less well-known works. Covering materials ranging from Anglo-Saxon manuscripts and inscribed objects to contemporary comics, The Visible Text rewrites the history of textual media and technologies. Arguing that media are not defined by technologies alone, but by a combination of technologies and the ideas that people hold about those technologies, Bredehoft identifies four distinct periods or domains in the history of English literature that correspond to four ways in which media ideologies interacted with the two basic defining technologies of manuscripts and printed books. Examining two complementary ways of defining texts (as subject to a reproductive medium, on the one hand, and as surrounded and defined by paratexts, on the other), The Visible Text points out how Anglo-Saxon manuscripts and contemporary comics share a remarkable similarity in being structured as productions rather than reproductions. Contrastingly, the late-medieval and print-era periods share a cultural investment in textual reproduction, but they differ both in their characteristic technologies and in how they conceptualize the object of reproduction itself. A final epilogue, briefly considering the nature of electronically-mediated textuality, highlights the importance of understanding the history addressed here, as electonic text both parallels and departs from typographic print in ways that earlier reproductive domains clarify and complicate. Filled with concrete examples of both books and texts, The Visible Text will be of interest to readers in the fields of literature, book history, literary theory, media studies, and visual culture.

How do you generate that lightbulb “aha” moment of understanding for your students? This book helps to answer that question by showing Visible Learning strategies in action in high-impact mathematics classrooms. Walk in the shoes of teachers as they engage in the countless micro-decisions required to balance strategies, tasks, and assessments, demonstrating that it’s not only what works, but when. A decision-making matrix and grade-leveled examples help you leverage the most effective teaching practices at the most effective time to meet the surface, deep, and transfer learning needs of every student.

Select the right task, at the right time, for the right phase of learning Young students come to elementary classrooms with different background knowledge, levels of readiness, and learning needs. What works best to help K–2 students develop the tools to become visible learners in mathematics? What works best for K-=–2 mathematics learning at the surface, deep, and transfer levels? In this sequel to the megawatt bestseller Visible Learning for Mathematics, John Almarode, Douglas Fisher, Kateri Thunder, John Hattie, and Nancy Frey help you answer those questions by showing how Visible Learning strategies look in action in K–2 mathematics classrooms. Walk in the shoes of teachers as they mix and match the strategies, tasks, and assessments seminal to making conceptual understanding, procedural knowledge, and the application of mathematical concepts and thinking skills visible to young students as well as to you. Using grade-leveled examples and a decision-making matrix, you’ll learn to Articulate clear learning intentions and success criteria at surface, deep, and transfer levels Employ evidence to guide students along the path of becoming metacognitive and self-directed mathematics achievers Use formative assessments to track what students understand, what they don’t, and why Select the right task for the conceptual, procedural, or application emphasis you want, ensuring the task is for the right phase of learning Adjust the difficulty and complexity of any task to meet the needs of all learners It’s not only what works, but when. Exemplary lessons, video clips, and online resources help you leverage the most effective teaching practices at the most effective time to meet the surface, deep, and transfer learning needs of every K–2 student.

The Universal Spacetime Theory (UST) is the main subject of this book. It attempts to answer some very interesting questions related to the science and philosophy: * What is the origin of the Universe? * How was the Universe created out of nothing? * What are the structure and properties of ordinary matter that makes up less than 5%%%% of the Universe? * What are the structure and properties of dark matter that occupies about 27%%%% of the Universe? * What are the structure and properties of the dark energy that occupies roughly 68%%%% of the Universe? * Is the communication possible with superluminal velocity

Selected as the Michigan Council of Teachers of Mathematics winter book club book! Rich tasks, collaborative work, number talks, problem-based learning, direct instruction...with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it’s not about which one—it’s about when—and show you how to design high-impact instruction so all students demonstrate more than a year’s worth of mathematics learning for a year spent in school. That’s a high bar, but with the amazing K-12 framework here, you choose the right approach at the right time, depending upon where learners are within three phases of learning: surface, deep, and transfer. This results in "visible" learning because the effect is tangible. The framework is forged out of current research in mathematics combined with John Hattie’s synthesis of more than 15 years of education research involving 300 million students. Chapter by chapter, and equipped with video clips, planning tools, rubrics, and templates, you get the inside track on which instructional strategies to use at each phase of the learning cycle: Surface learning phase: When—through carefully constructed experiences—students explore new concepts and make connections to procedural skills and vocabulary that give shape to developing conceptual understandings. Deep learning phase: When—through the solving of rich high-cognitive tasks and rigorous discussion—students make connections among conceptual ideas, form mathematical generalizations, and apply and practice procedural skills with fluency. Transfer phase: When students can independently think through more complex mathematics, and can plan, investigate, and elaborate as they apply what they know to new mathematical situations. To equip students for higher-level mathematics learning, we have to be clear about where students are, where they need to go, and what it looks like when they get there. Visible Learning for Math brings about powerful, precision teaching for K-12 through intentionally designed guided, collaborative, and independent learning.