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For better or worse, many educational decisions that were once a private matter of teachers or administrators are now based on information technology. To be successful in this era, educators need to know how to use data successfully for their purposes and to understand the social forces at work. In this book, the author draws on his unique background in education policy and information systems to provide valuable insights into the education data movement. Using narratives of practice, the text discusses many current topics including value added modeling for teacher evaluation, big data and analytics, longitudinal data systems, open educational resources, and new designs for teaching.
Provides information on the effect of technology on student academic performance in mathematics, science, and reading.
"A comprehensive look at how the arts (broadly conceived) can improve teaching, learning, and curriculum for all students, written in accessible language for non-academics and non-experts. It contains many evocative examples to illustrate the power of the arts to change education"--
Renowned cognitive scientist Allan Collins proposes a school curriculum that will fit the needs of our modern era. Examining how advances in technology, communication, and the dissemination of information are reshaping the world, Collins offers guidelines to help schools foster flexible, self-directed learners who will succeed in the global workplace.
Intended for occupational therapists, physical therapists, physical education teachers, and adapted physical education teachers. Provides a detailed history of movement skill assessment, its purposes and theoretical underpinnings. Then discusses six levels of movement skill assessment and provides eight in-depth critiques of popular assessment instruments, such as the Test of Gross Motor Development, the Movement Assessment Battery for Children Checklist, and the Bruininks-Oseretsky Test of Motor Proficiency. Annotation copyrighted by Book News, Inc., Portland, OR
"A collaborative effort between researchers and practitioners, this volume presents lessons learned to assist teacher educators who are engaged daily with the challenges of making data useful and used in their programs. Readers will see how the work carried out in "high data use" teacher education programs strengthened local program identity and coherence"--
How can we “fix” our schools? Improve graduation rates in college? What works?These are questions that make the headlines and vex policy makers, practitioners, and educational researchers. While they strive to improve society, there are frequently gulfs of mutual incomprehension among them.Academics, longing for more influence, may wrongly fault irrationality, ideology, or ignorance for the failure of research to inform policy and practice more powerfully. Policy makers and practitioners may doubt that academics can deliver ideas that will reliably yield desirable results. This book bridges the divide. It argues that unrealistic expectations lead to both unproductive research and impossible standards for “evidence-based” policy and practice, and it offers promising ways for evidence to contribute to improvement. It analyzes the utility and limitations of the different research methods that have been applied to policy and practice, as well as the strengths and weaknesses of educational reform strategies. It explains why using evidence for “accountability” often makes things worse rather than better.Paul Lingenfelter offers educational researchers and policy makers a framework for considering such questions as: What problems are important and accessible? What methods will be fruitful? Which help policy makers and practitioners make choices and learn how to improve? What information is relevant? What knowledge is valid and useful? How can policy makers and practitioners establish a more productive division of labor based on their respective capabilities and limitations? He cautions against the illusion that straight-forward scientific approaches and data can be successfully applied to society’s most complex problems. While explaining why no single policy or intervention can solve complex problems, he concludes that determination, measurement, analysis, and adaptation based on evidence in specific situations can lead to significant improvement. This positive, even-handed introduction to the use of research for problem-solving concludes by suggesting emerging practices and approaches that can help scholars, practitioners, and policy leaders become more successful in reaching their fundamental goals.
This Handbook provides a comprehensive overview of the modern economics of education literature, bringing together a series of original contributions by globally renowned experts in their fields. Covering a wide variety of topics, each chapter assesses the most recent research with an emphasis on skills, evaluation and data analytics.
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Our fifth book in the International Research on School Leadership series focuses on the use of data in schools and districts as useful information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and attendance as just a short list of student information sources, while additional streams of data feed into schools and districts from teachers and parents as well as local, regional and national policy levels. To deal with the data, schools have implemented a variety of data practices, from data rooms, to data days, data walks, and data protocols. However, despite the flood of data, successful school leaders are leveraging an analysis of their school’s data as a means to bring about continuous improvement in an effort to improve instruction for all students. Nevertheless, some drown, some swim, while others find success. Our goal in this book volume is to bring together a set of chapters by authors who examine successful data use as it relates to leadership and school improvement. In particular, the chapters in this volume consider important issues in this domain, including: • How educational leaders use data to inform their practice. • What types of data and data analysis are most useful to successful school leaders. • To what extent are data driven and data informed practices helping school leaders positively change instructional practice? • In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking? • How have school leadership practices changed as more data and data analysis techniques have become available? • What are the major obstacles facing school leaders when using data for decision making and how do they overcome them?