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Government scrutiny and intensified oversight have dramatically changed the landscape of education in recent years. Observers want to know how schools compare, which district is best, which states are spending the most per student on education, whether reforms are making a difference, and why so many students are failing. Some of these questions require technical answers that educators historically redirected to outside experts, but the questions leveled at all educators have become so acute and persistent that they can no longer be outsourced. This text helps educators develop the tools and the conceptual understanding needed to provide definitive answers to difficult statistical questions facing education today.
"Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Statistics education as proposed in this framework can promote the must-have competencies for graduates to thrive in the modern world.
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
While written for mastersÆ students in any Educational Leadership concentration, this is a core text for departments that teach action research as a primary research methodology or a supplemental text for those that place it in a range of research methods. The book provides a readable overview of the PAR process similar to professional learning communities in schools. Its design reaches out to visual learners as graphic elements guide graduate students through the research methods they need to successfully complete rigorous projects. The results of the original PAR study and continued work with educational leaders lead us to believe that this approach ultimately produces the results school leaders seek and appreciate. Key Features: o Clear process through both the PAR steps employing a research logic model throughout. This benefits the graduate student or educational leader by leading them to data driven outcomes that are valid, credible and reliableGraphic elements guide the reader through the process and aid the visual learner in keeping track of the concepts behind the theory. o Reflective questions precede each section. This increases the reflective practices and routines of the reader as appropriate to the PAR process. o Tasks, written for both groups and individuals, aid participatory teams in working towards consensus and strong research designs o Practitioner stories make the lessons real and ease the emotional unease that come from tackling research practices the first time. Intended Audience: This book represents the evolution of PAR from a soft science to a process appropriate for educators in todayÆs data driven environments or for graduate students whose thesis needs to pass the recommendations of professors steeped in positivist traditions.
Going to College tells the powerful story of how high school students make choices about postsecondary education. Drawing on their unprecedented nine-year study of high school students, the authors explore how students and their parents negotiate these important decisions. Family background, finances, education, information—all influence students' plans after high school and the career paths they pursue, as do the more subtle messages delivered by parents and counselors which shape adolescents' self-expectations. For high school guidance counselors, college admissions counselors, parents and teachers, and public policy makers, this book is a valuable resource that explains the decision-making process and helps adults to help students make appropriate choices. The authors identify predisposition, search, and choice as the three stages in the student decision-making process. Predisposition refers to the plans students develop for education or work after they graduate from high school. The search stage involves students discovering and evaluating a variety of colleges and universities. In the choice stage, students choose a school to attend from among a list of institutions that are being seriously considered. Understanding exactly how students move through the predisposition, search, and choice stages of the college decision-making process can help students and parents prepare themselves for this process and consider a wider array of options. For education professionals, understanding this process can lead to new initiatives to guide students and families effectively—by providing better incentives for college savings, for example, or devising more effective early information programs about postsecondary education. Going to College is the first book to seriously study over an extended period the decisions that have a pervasive and lasting impact on individual careers, livelihoods, and lifestyles. The authors conclude with important recommendations for improving academic support, exploring various financial options, providing early encouragement—in other words, for recognizing the factors that influence students' decisions, and knowing when to pay attention to them.