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Although there is little argument that an important connection exists between literacy and science, much is not known about how literacy-science learning takes place. How does knowledge in one area affect learning in the other? How can teachers provide meaningul literacy-science connections in the classroom? How important are these connections? Teacher educators, reading educators, and science educators answer questions such as these in this collection that aime to reduce the competition of lack of understanding between the science and humanities communities. Editor E. Wendy Saul offers a variety of pieces to help educators address the literacy-science connection: quasi-theoretical pieces to help you think differently about how language and the specific discourse of science work together; literature reviews to help you understand trends in the literature; case studies to help you recognize exemplary teacher practices; and evaluations of particular interventions to help you forgo the assumption that there is agreement on best practices. Each thought-provoking chapter encourages you to reflect on you own beliefs and find new ways to foster the literacy-science connection among your students and colleagues.
This book provides critical perspectives on issues relating to writing norms and assessment, as well as writing proficiency development, and suggests that scholars need to both carefully examine testing regimes and develop research-informed perspectives on tests and testing practices. In this way schools, institutions of adult education and universities can better prepare learners with differing cultural experiences to meet the challenges. The book brings together empirical studies from diverse geographical contexts to address the crossing of literacy borders, with a focus on academic genres and practices. Most of the studies examine writing in countries where the norms and expectations are different, but some focus on writing in a new discourse community set in a new discipline. The chapters shed light on commonalities and differences between these two situations with respect to the expectations and evaluations facing the writers. They also consider the extent to which the norms that the writers bring with them from their educational backgrounds and own cultures are compromised in order to succeed in the new educational settings.
This volume brings together evidence-based approaches to interdisciplinary language arts and science instruction. Firmly grounded in the research showing cognitive parallels between the two subjects, and reflecting the many recommendations in recent years for using interdisciplinary instruction at the elementary level, its goal is to help teachers effectively use this kind of instruction in elementary classrooms. The book is organized around three themes: *Introduction to Interdisciplinary Science and Language Arts Instruction; *The Influence of Interdisciplinary Science and Language Arts Instruction on Children’s Learning; and *Research on Preparing Elementary Teachers to Use Interdisciplinary Science and Language Arts Instruction Each chapter summarizes the research on its focal topic. Examples of research applied to practice, and questions and prompts for discussion and reflection help readers apply what they are reading in their own classroom contexts. Teacher educators and prospective and practicing elementary teachers everywhere will benefit from this overview of current research and practice in interdisciplinary science and language arts instruction.
Today’s teachers need to prepare students for a world that places increasingly higher literacy demands on its citizens. In this timely book, the authors explore content-area literacy and instruction in English, music, science, mathematics, social studies, visual arts, technology, and theatre. Each of the chapters has been written by teacher educators who are experts in their discipline. Their key recommendations reflect the aims and instructional frameworks unique to content-area learning. This resource focuses on how literacy specialists and content-area educators can combine their talents to teach all readers and writers in the middle and secondary school classroom. The text features vignettes from classroom practice with visuals to demonstrate, for example, how we read a painting or hear the discourse of a song. Additional contributors: Marta Adair, Diane L. Asay, Sharon R. Gray, Sirpa Grierson, Scott Hendrickson, Steven L. Shumway, Geoffrey A. Wright Roni Jo Draperis an associate professor in the Department of Teacher Education in the David O. McKay School of Education.Paul Broomheadis associate professor and coordinator of the Music Education Division in the School of Music.Amy Petersen Jensenis an associate professor in the College of Fine Arts and Communications.Jeffery D. Nokesis an assistant professor in the History Department.Daniel Siebertis an associate professor in the Department of Mathematics Education. All editors are at Brigham Young University, Utah. “This is a must-read for educators engaged in professional development efforts aimed at improving students’ learning across the content areas. The editors and chapter authors are to be applauded for taking up the call to place content-area literacy squarely in the disciplines.” —From the Foreword byThomas W. Bean, University of Nevada, Las Vegas “A great tool for developing disciplinary literacy.” —Douglas Fisher, San Diego State University “Draper and her colleagues successfully convey the complex and subject-specific nature of effective content area literacy instruction. This book reminds us in refreshing ways that there is more to effective reading than decoding and prior knowledge.” —George G. Hruby, Executive Director, Collaborative Center for Literacy Development, University of Kentucky “From its grounding in inquiry and collaboration, to its contemporary views of literacy and text, this book is an important response to recent calls to redress century-old recommendations for teaching reading. It is exciting to recommend(Re)ImaginingContent-Area Literacy Instructionfor any course or in-service project with a focus on content-area literacy instruction.” —Kathleen Hinchman, Syracuse University, School of Education
Covers pre-reading strategies, nonfiction text, post-reading applications and hands-on science experiments.
Science is often a forgotten subject in early elementary grades as various mandates require teachers to focus on teaching young students to achieve specific reading and mathematical competencies. This book offers specific examples and empirical evidence of how integrated science-literacy curriculum and teaching in urban primary-grade classrooms give students opportunities to learn science and to develop positive images of themselves as scientists. The Integrated Science-Literacy Enactments (ISLE) approach builds on multimodal, multidimensional, and dialogically oriented teaching and learning principles. Readers see how, as children engage with texts, material objects, dialogue, ideas, and symbols in their classroom community, they are helped to bridge their own understandings and ways with words and images with those of science. In doing so, they become learners of both science and literacy. The book features both researcher and teacher perspectives. It explores science learning and its intersection with literacy development in schools that educate predominately children of color, many of whom struggle with poverty and have been traditionally underestimated, underserved, and underrated in science classrooms. In all these ways, this volume is a significant contribution to a critically under-researched area of science education.
Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.