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| data collection in education: The Rise of Data in Education Systems Martin Lawn, 2013-05-13 The growth of education systems and the construction of the state have always been connected. The processes of governing education systems always utilized data through a range of administrative records, pupil testing, efficiency surveys and international projects. By the late twentieth century, quantitative data had gained enormous influence in education systems through the work of the OECD, the European Commission and national system agencies. The creation and flow of data has become a powerful governing tool in education. Comparison between pupils, costs, regions and states has grown ever more important. The visualization of this data, and its range of techniques, has changed over time, especially in its movement from an expert to a public act. Data began to be explained to a widening audience to shape its behaviours and its institutions. The use of data in education systems and the procedures by which the data are constructed has not been a major part of the study of education, nor of the histories of education systems. This volume of contributions, drawn from different times and spaces in education, will be a useful contribution to comparative historical studies. |
| data collection in education: Street Data Shane Safir, Jamila Dugan, 2021-02-12 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. |
| data collection in education: Advancing Educational Research With Emerging Technology Kennedy, Eugene, Qian, Yufeng, 2019-11-29 Advances in technology and media have fundamentally changed the way people perceive research, how research studies are conducted, and the ways data are analyzed/how the findings are presented. Emerging internet-enabled technological tools have enhanced and transformed research in education and the way educators must adapt to conduct future studies. Advancing Educational Research With Emerging Technology provides innovative insights into cutting-edge and long-standing digital tools in educational research and addresses theoretical, methodological, and ethical dimensions in doing research in the digital world. The content within this publication examines such topics as computational linguistics, individualized learning, and mobile technologies. The design of this publication is suited for students, professors, higher education faculty, deans, academicians, researchers, and practitioners looking to expand their research through the use of a broad range of digital tools and resources. |
| data collection in education: Using Data in Schools to Inform Leadership and Decision Making Alex J. Bowers, Alan R. Shoho, Bruce G. Barnett, 2014-11-01 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? |
| data collection in education: Research Methods in Education Joseph Check, Russell K. Schutt, 2011-10-27 Research Methods in Education introduces research methods as an integrated set of techniques for investigating questions about the educational world. This lively, innovative text helps students connect technique and substance, appreciate the value of both qualitative and quantitative methodologies, and make ethical research decisions. It weaves actual research stories into the presentation of research topics, and it emphasizes validity, authenticity, and practical significance as overarching research goals. The text is divided into three sections: Foundations of Research (5 chapters), Research Design and Data Collection (7 chapters), and Analyzing and Reporting Data (3 chapters). This tripartite conceptual framework honors traditional quantitative approaches while reflecting the growing popularity of qualitative studies, mixed method designs, and school-based techniques. This approach provides a comprehensive, conceptually unified, and well-written introduction to the exciting but complex field of educational research. |
| data collection in education: Quantitative and Statistical Data in Education Michel Larini, Angela Barthes, 2018-12-18 This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts. |
| data collection in education: Data-based Decision Making in Education Kim Schildkamp, Mei Kuin Lai, Lorna Earl, 2012-09-18 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 collection in education: The Global Purpose Approach Tarece Johnson Ed.D., 2018-02-15 I created The Global Purpose Approach to help people gain the interest, knowledge, and skills needed for them to become more global-minded individuals. The idea for the book evolved from the need to enhance instruction in multicultural education so that people may be more knowledgeable, respectful, and appreciative of the geographies, languages, and cultures of people across the globe. The principles, content, and strategies that result comprise The Global Purpose Approachan instructional framework to introduce and integrate multiculturalism in schools, classrooms, private corporations, public agencies, and individuals daily lives. The purpose of The Global Purpose Approach is to foster multicultural awareness and education by helping to understand, respect, and appreciate similarities and differences across cultures. It consists of six guiding principlespurpose, environment, observation, perspective, language, and exploration (PEOPLE)together with an outline (NO FEAR) and resources for interactive and immersive learning of the core elements of culture. The intended impact of The Global Purpose Approach is to develop people who have enhanced knowledge and appreciation of diverse cultures and who can, therefore, interact and contribute innovatively in an interconnected, global society. Human resource professionals, organizational leaders, school districts, and teachers may use this book as a guide to integrate multicultural education in their departments, organizations, school systems, and classrooms. It also allows for educators to easily adapt the approach to fit their curriculum requirements and existing teaching plans and to implement it within their daily teaching. In this way, The Global Purpose Approach can be seen as a way to strengthen current teaching practices by adopting a set of philosophies and utilizing activities to foster more globally connected, engaged citizens without the need to fully revise or change. |
| data collection in education: The Datafication of Education Juliane Jarke, Andreas Breiter, 2020-05-21 This book attends to the transformation of processes and practices in education, relating to its increasing digitisation and datafication. The introduction of new means to measure, capture, describe and represent social life in numbers has not only transformed the ways in which teaching and learning are organised, but also the ways in which future generations (will) construct reality with and through data. Contributions consider data practices that span across different countries, educational fields and governance levels, ranging from early childhood education, to schools, universities, educational technology providers, to educational policy making and governance. The book demonstrates how digital data not only support decision making, but also fundamentally change the organisation of learning and teaching, and how these transformation processes can have partly ambivalent consequences, such as new possibilities for participation, but also the monitoring and emergence/manifestation of inequalities. Focusing on how data can drive decision making in education and learning, this book will be of interest to those studying both educational technology and educational policy making. The chapters in this book were originally published in Learning, Media and Technology. Chapter 4 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. |
| data collection in education: Using Data to Support Learning in Schools Gabrielle Matters, 2006 Examines the issues raised by the ACER Research Conference 2005. Analyses conference papers, distils essence of conference 'conversations' and contextualises them in the light of Australian and international literature. |
| data collection in education: Introduction to Educational Research W. Newton Suter, 2012 W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance. |
| data collection in education: Transforming Teaching and Learning Through Data-Driven Decision Making Ellen B. Mandinach, Sharnell S. Jackson, 2012-04-10 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. |
| data collection in education: The Knowledge Gap Natalie Wexler, 2020-08-04 The untold story of the root cause of America's education crisis--and the seemingly endless cycle of multigenerational poverty. It was only after years within the education reform movement that Natalie Wexler stumbled across a hidden explanation for our country's frustrating lack of progress when it comes to providing every child with a quality education. The problem wasn't one of the usual scapegoats: lazy teachers, shoddy facilities, lack of accountability. It was something no one was talking about: the elementary school curriculum's intense focus on decontextualized reading comprehension skills at the expense of actual knowledge. In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system--one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware. But The Knowledge Gap isn't just a story of what schools have gotten so wrong--it also follows innovative educators who are in the process of shedding their deeply ingrained habits, and describes the rewards that have come along: students who are not only excited to learn but are also acquiring the knowledge and vocabulary that will enable them to succeed. If we truly want to fix our education system and unlock the potential of our neediest children, we have no choice but to pay attention. |
| data collection in education: Big Data in Education Ben Williamson, 2017-07-24 Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment! |
| data collection in education: You Are a Data Person Amelia Parnell, 2023-07-03 Internal and external pressure continues to mount for college professionals to provide evidence of successful activities, programs, and services, which means that, going forward, nearly every campus professional will need to approach their work with a data-informed perspective.But you find yourself thinking “I am not a data person”.Yes, you are. Or can be with the help of Amelia Parnell.You Are a Data Person provides context for the levels at which you are currently comfortable using data, helps you identify both the areas where you should strengthen your knowledge and where you can use this knowledge in your particular university role.For example, the rising cost to deliver high-quality programs and services to students has pushed many institutions to reallocate resources to find efficiencies. Also, more institutions are intentionally connecting classroom and cocurricular learning experiences which, in some instances, requires an increased gathering of evidence that students have acquired certain skills and competencies. In addition to programs, services, and pedagogy, professionals are constantly monitoring the rates at which students are entering, remaining enrolled in, and leaving the institution, as those movements impact the institution’s financial position.From teaching professors to student affairs personnel and beyond, Parnell offers tangible examples of how professionals can make data contributions at their current and future knowledge level, and will even inspire readers to take the initiative to engage in data projects.The book includes a set of self-assessment questions and a companion set of action steps and available resources to help readers accept their identity as a data person. It also includes an annotated list of at least 20 indicators that any higher education professional can examine without sophisticated data analyses. |
| data collection in education: Community-Based Qualitative Research Laura Ruth Johnson, 2016-03-18 Community-Based Qualitative Research: Approaches for Education and the Social Sciences by Laura Ruth Johnson is a practical text that integrates theoretical perspectives with guidelines for designing and implementing community-based qualitative research projects. Coverage of participatory research designs and approaches is complemented by chapters on specific aspects of this research process, such as developing relationships and sharing findings to strengthen programs. Included are useful handouts and templates for applying to the reader’s own projects, and end-of-chapter questions for self-reflection and class discussion. Readers will find the book’s engaging case studies, interdisciplinary real-life examples, and insights from project participants as a helpful foundation for future work in the field. |
| data collection in education: Data Wise, Revised and Expanded Edition Kathryn Parker Boudett, Elizabeth A. City, Richard J. Murnane, 2020-08-26 Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning presents a clear and carefully tested blueprint for school leaders. It shows how examining test scores and other classroom data can become a catalyst for important schoolwide conversations that will enhance schools’ abilities to capture teachers’ knowledge, foster collaboration, identify obstacles to change, and enhance school culture and climate. This revised and expanded edition captures the learning that has emerged in integrating the Data Wise process into school practice and brings the book up-to-date with recent developments in education and technology including: The shift to the Common Core State Standards. New material on the “ACE Habits of Mind”: practices that prioritize Action, Collaboration, and Evidence as part of transforming school culture. A new chapter on “How We Improve,” based on experiences implementing Data Wise and to address two common questions: “Where do I start?” and “How long will it take?” Other revisions take into account changes in the roles of school data teams and instructional leadership teams in guiding the inquiry process. The authors have also updated exhibits, examples, and terminology throughout and have added new protocols and resources. |
| data collection in education: Planning the Quality of Education Institut international de planification de l'éducation, International Institute for Educational Planning, 1990 Hardbound. This book was prepared from the papers and discussions associated with an international workshop on Issues and Practices in Planning the Quality of Education organized by the International Institute for Educational Planning in November 1989. The first part considers the differing information requirements for different levels of decision making in education and a review of established educational information collection practices. The second explores the linkages between information and the quality of education. The third considers two areas where many countries have experienced difficulties in the collection and use of educational information: the dialogue between the producers and consumers of information, and the technical issues associated with the collection, preparation, and analysis of information. A conclusion summarizes the fundamental needs for training and research that emerged from the preceding chapters. |
| data collection in education: Driven by Data Paul Bambrick-Santoyo, 2010-04-12 Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD. |
| data collection in education: Putting FACES on the Data Lyn Sharratt, Michael Fullan, 2012-02-03 Build the bridge from data collection to improved instruction Students are people—not data. How can you use assessment data to focus on reaching every student? This book shows how to develop a common language for sharing all students’ progress with all teachers and leaders, and how to use ongoing assessment to inform instruction. Based on worldwide research of more than 500 educators, the book presents solutions organized by: Assessment Instruction Leadership Ownership The many benefits of personalizing data include increased student engagement and a positive impact on school culture. This reader-friendly guide helps you set goals, adjust lessons, identify students’ strengths and weaknesses, and implement interventions. |
| data collection in education: Quantitative Data Analysis in Education Paul Connolly, 2007-08-07 An accessible and user-friendly guide to quantitative data analysis in educational research, aimed at those with little or no prior knowledge of statistical methods. |
| data collection in education: Data Analysis for Continuous School Improvement Victoria L. Bernhardt, 2017-09-19 Data Analysis for Continuous School Improvement provides a new definition of school improvement, away from a singular focus on compliance, toward a true commitment to excellence. This book is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framework that will result in improving teaching for every teacher and learning for every student through the comprehensive use of data. A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, Data Analysis for Continuous School Improvement shares new, evidence-based learnings about how to analyze, report, communicate, and use multiple measures of data. The updated edition provides a wealth of tools, protocols, timelines, examples, and strategies that will help schools and districts become genuine learning organizations. |
| data collection in education: Fieldwork in Educational Settings Sara Delamont, 2002 This new edition brings original, best-selling text right up-to-date for new researchers and includes a new chapter on computer software for data handling. |
| data collection in education: Data Science in Education Using R Ryan A. Estrellado, Emily Freer, Joshua M. Rosenberg, Isabella C. Velásquez, 2020-10-26 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. |
| data collection in education: Data Collection Research Methods in Applied Linguistics Heath Rose, Jim McKinley, Jessica Briggs Baffoe-Djan, 2019-11-28 The successful collection of data is a key challenge to obtaining reliable and valid results in applied linguistics research. Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in collecting good data. The book explores frequently used data collection techniques, including: * interviews and focus groups * observations * stimulated recall and think aloud protocols * data elicitation tasks * corpus methods * questionnaires * validated tests and measures Each chapter focuses on one type of data collection, outlining key concepts, threats to reliability and validity, procedures for good data collection, and implications for researchers. The chapters also include exemplary research projects, showcasing and explaining for readers how the technique was used to collect data in a successfully published study. This book is an essential resource for both novice and experienced applied linguists tackling data collection techniques for the first time. |
| data collection in education: Research Methods in Education Louis Cohen, Lawrence Manion, Keith Morrison, 2017-10-12 This thoroughly updated and extended eighth edition of the long-running bestseller Research Methods in Education covers the whole range of methods employed by educational research at all stages. Its five main parts cover: the context of educational research; research design; methodologies for educational research; methods of data collection; and data analysis and reporting. It continues to be the go-to text for students, academics and researchers who are undertaking, understanding and using educational research, and has been translated into several languages. It offers plentiful and rich practical advice, underpinned by clear theoretical foundations, research evidence and up-to-date references, and it raises key issues and questions for researchers planning, conducting, reporting and evaluating research. This edition contains new chapters on: Mixed methods research The role of theory in educational research Ethics in Internet research Research questions and hypotheses Internet surveys Virtual worlds, social network software and netography in educational research Using secondary data in educational research Statistical significance, effect size and statistical power Beyond mixed methods: using Qualitative Comparative Analysis (QCA) to integrate cross-case and within-case analyses. Research Methods in Education is essential reading for both the professional researcher and anyone involved in educational and social research. The book is supported by a wealth of online materials, including PowerPoint slides, useful weblinks, practice data sets, downloadable tables and figures from the book, and a virtual, interactive, self-paced training programme in research methods. These resources can be found at: www.routledge.com/cw/cohen. |
| data collection in education: Critical Theory and Qualitative Data Analysis in Education Rachelle Winkle-Wagner, Jamila Lee-Johnson, Ashley N. Gaskew, 2018-07-04 Critical Theory and Qualitative Data Analysis in Education offers a path-breaking explanation of how critical theories can be used within the analysis of qualitative data to inform research processes, such as data collection, analysis, and interpretation. This contributed volume offers examples of qualitative data analysis techniques and exemplars of empirical studies that employ critical theory concepts in data analysis. By creating a clear and accessible bridge between data analysis and critical social theories, this book helps scholars and researchers effectively translate their research designs and findings to multiple audiences for more equitable outcomes and disruption of historical and contemporary inequality. |
| data collection in education: The Ultimate School Counselor's Guide to Assessment and Data Collection Sandra Logan-McKibben, PhD, NCC, NCSC, ACS, BC-TMH, Jenna Marie Alvarez, PhD, LSC, LPC, 2021-10-27 Showcases assessments that specifically support the unique work of school counselors! Written specifically for school counselors and those in training, this is the first book to highlight the use of assessment and data collection to effectively advocate for student success. It bridges the gap in relevant knowledge and skills by not only delineating the requirements for formulating a data-driven approach, but also presenting actual assessments that can immediately be implemented. Underscoring the professional and ethical responsibilities of practicing school counselors to be data-driven, the book delivers the guidance and instruments needed to access multiple levels of data. This includes individual student data, school-level data, school counseling program-level data, or data regarding the school counselors' practices or beliefs. This practical, user-friendly book is organized step-by-step, starting with foundational knowledge and progressing towards application. It introduces readers to both formal and informal assessments and provides examples of how to integrate assessments within comprehensive school counseling programs (CSCP). It addresses a variety of approaches to assessments and data collection across the domains of academic, career, and social-emotional development, and examines needs assessment and program evaluation to drive the development and implementation of a CSCP. Additionally, the resource explains each type of data, reinforced with examples across domains and school levels. Also included are technology tools that can aid in the assessment and data collection process as well as accountability reporting. Key Features: Provides specific, concrete steps for using assessment and data collection to advocate for student success and develop effective CSCPs Includes examples of data collection tools, assessments, charts, tables, and illustrations Delivers hands-on application tasks throughout Delineates valid and reliable instruments to bolster effectiveness Includes downloadable appendix with formal assessments and templates to complete tasks described throughout the text |
| data collection in education: Data-Driven School Improvement Ellen B. Mandinach, Margaret Honey, 2008 The first comprehensive examination of the field, this book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young. If you want to understand usable knowledge, read Data-Driven School Improvement. Ellen Condliffe Lagemann, Harvard University It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts. David C. Berliner, Mary Lou Fulton College of Education, Arizona State University Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making. Barbara Means, Center for Technology in Learning, SRI International |
| data collection in education: Preparing Teachers National Research Council, Division of Behavioral and Social Sciences and Education, Center for Education, Committee on the Study of Teacher Preparation Programs in the United States, 2010-07-25 Teachers make a difference. The success of any plan for improving educational outcomes depends on the teachers who carry it out and thus on the abilities of those attracted to the field and their preparation. Yet there are many questions about how teachers are being prepared and how they ought to be prepared. Yet, teacher preparation is often treated as an afterthought in discussions of improving the public education system. Preparing Teachers addresses the issue of teacher preparation with specific attention to reading, mathematics, and science. The book evaluates the characteristics of the candidates who enter teacher preparation programs, the sorts of instruction and experiences teacher candidates receive in preparation programs, and the extent that the required instruction and experiences are consistent with converging scientific evidence. Preparing Teachers also identifies a need for a data collection model to provide valid and reliable information about the content knowledge, pedagogical competence, and effectiveness of graduates from the various kinds of teacher preparation programs. Federal and state policy makers need reliable, outcomes-based information to make sound decisions, and teacher educators need to know how best to contribute to the development of effective teachers. Clearer understanding of the content and character of effective teacher preparation is critical to improving it and to ensuring that the same critiques and questions are not being repeated 10 years from now. |
| data collection in education: Contemporary Technologies in Education Olusola O. Adesope, A.G. Rud, 2018-11-08 This edited volume provides a critical discussion of theoretical, methodological, and practical developments of contemporary forms of educational technologies. Specifically, the book discusses the use of contemporary technologies such as the Flipped Classroom (FC), Massive Open Online Course (MOOC), Social Media, Serious Educational Games (SEG), Wikis, innovative learning software tools, and learning analytic approach for making sense of big data. While some of these contemporary educational technologies have been touted as panaceas, researchers and developers have been faced with enormous challenges in enhancing the use of these technologies to arouse student attention and improve persistent motivation, engagement, and learning. Hence, the book examines how contemporary technologies can engender student motivation and result in improved engagement and learning. Each chapter also discusses the road ahead and where appropriate, uses the current trend to predict future affordances of technologies. |
| data collection in education: SEDCAR, Standards for Education Data Collection and Reporting , 1991 A report of the Cooperative Education Data Collection and Reporting (CEDCAR) Standards Project Task Force under contract to the National Center for Education Statistics, U.S. Department of Education. |
| data collection in education: Action Research in Education Vivienne Baumfield, Elaine Hall, Kate Wall, 2012-12-18 Action Research in Education is an essential guide for any lecturer, teacher or student-teacher interested in doing research. This exciting new edition of a popular text is an important resource for any education professional interested in investigating learning and teaching. Building on the success of Action Research in the Classroom, the authors have revised, updated and extended this book to include examples from further and higher education. It maps out easy-to-follow steps for usefully applying an action research approach and is full of practical tips and examples of real practitioner research projects from a range of schools, colleges and universities. This book will help teachers to: - understand and apply practitioner inquiry - enhance their problem-solving skills - locate their own activity in a wider context - maximise opportunities to develop practice - evaluate the needs of their learners Clear, pragmatic and timely, this is a must-have text for all teachers and students of education. Vivienne Baumfield is Professor of Pedagogy, Policy and Innovation in the School of Education, University of Glasgow Elaine Hall is Lecturer in Research Methods, School of Education, Communication and Language Sciences, Newcastle University Kate Wall is Senior Lecturer in the School of Education, Durham University |
| data collection in education: The Use of Data in School Counseling Trish Hatch, Julie Hartline, 2021-07-29 This edition provides school counselors with new ways for moving from reactive to proactive and from random to intentional counseling. By using data to determine what all students deserve to receive and when some students need more, it offers effective ways to provide proactive school counseling services, stay accountable, and advocate for systemic change. Includes data analysis, intervention strategies, methods aligned with standards, examples, artifacts, and other tools. |
| data collection in education: Dear Data Giorgia Lupi, Stefanie Posavec, 2016-09-13 Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates the infinitesimal, incomplete, imperfect, yet exquisitely human details of life, in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere. |
| data collection in education: Using Data to Improve Learning Anthony Shaddock, 2014-02-01 Using Data to Improve Learning: A practical guide for busy teachers |
| data collection in education: School-based Research Elaine Wilson, 2009-02-03 Focused clearly on the needs of the new classroom researcher, this book is a thorough and thoughtful guide to the research process. The book helps new teachers beginning to use research literature to ask questions about published work, by considering the standpoint from which questions are asked, what sorts of answers are deemed researchable, and the audience to whom results are to be addressed. It also contextualizes methodological issues alongside key ideas which teachers are likely to be concerned with, such as ability grouping, pupil voice, pupil behavior, teaching approaches, and pupil motivation. |
| data collection in education: Global Perspectives on Quality Assurance and Accreditation in Higher Education Institutions Magd, Hesham, Kunjumuhammed, Siraj Kariyilaparambu, 2021-09-17 Quality accreditation in higher education institutions (HEIs) is currently a buzzword. The need to maintain high-quality education standards is a critical requirement for HEIs to remain competitive in the market and for government and regulatory bodies to ensure the quality standards of programs offered. From being an implicit requirement that is internally addressed, quality assurance activities become an explicit requirement that is regularly audited and appraised by national and international accreditation agencies. HEIs are voluntarily integrating quality management systems (QMS), institutional and program-specific, in response to the political and competitive environment in which it exists. Through its higher education department or by creating non-profitable accreditation bodies, many governments have implemented a quality framework for licensing HEIs and invigilates its adherence based on which accreditation statuses are granted for HEIs. Global Perspectives on Quality Assurance and Accreditation in Higher Education Institutions provides a comprehensive framework for HEIs to address quality assurance and quality accreditation requirements and serves as a practical tool to develop and deploy well-defined quality management systems in higher education. The book focuses on the critical aspects of quality assurance; the need to develop a concise and agile vision, mission, values, and graduate attributes; and to develop a system that effectively aligns the various activities of the HEI to the attainment of the strategic priorities listed in the institutional plans. The chapters each cover the various facets of the quality assurance framework and accreditation agencies' requirements with practical examples of each. This book is useful for HEI administrators, quality assurance specialists in HEIs, heads of academic departments, internal auditors, external auditors, and other practitioners of quality, along with stakeholders, researchers, academicians, and students interested in quality assurance and accreditation in higher education. |
| data collection in education: Methods in Educational Research Marguerite G. Lodico, Dean T. Spaulding, Katherine H. Voegtle, 2010-04-07 Methods in Educational Research Methods in Educational Research is designed to prepare students for the real world of educational research. It focuses on scientifically-based methods, school accountability, and the professional demands of the twenty-first century, empowering researchers to take an active role in conducting research in their classrooms, districts, and the greater educational community. Like the first edition, this edition helps students, educators, and researchers develop a broad and deep understanding of research methodologies. It includes substantial new content on the impact of No Child Left Behind legislation, school reform, quantitative and qualitative methodologies, logic modeling, action research, and other areas. Special features to assist the teaching and learning processes include vignettes illustrating research tied to practice, suggested readings at the end of each chapter, and discussion questions to reinforce chapter content. Praise for the Previous Edition A new attempt to make this subject more relevant and appealing to students. Most striking is how useful this book is because it is really grounded in educational research. It is very well written and quite relevant for educational researchers or for the student hoping to become one. -PsycCRITIQUES/American Psychological Association I applaud the authors for their attempt to cover a wide range of material. The straightforward language of the book helps make the material understandable for readers. -Journal of MultiDisciplinary Evaluation |
| data collection in education: Research Methods for Education Peter Newby, 2013-11-04 Written with the novice educational researcher in mind, Research Methods in Education is designed to help students produce good quality, valid and valuable research. The text is written in an engaging style and adopts a mixed-methods approach; guidance on analytical procedures that require more advanced tools such as SPSS and Minitab are also provided. The book is packed with exercises, examples and comparative international material from other educational contexts, all of which help to introduce this complex subject in an easy to use format for people that are new to research and are not confident with numerical information. Peter Newby's student-friendly text allows the researcher to confidently address the practical aspects of deciding on a research project, designing a questionnaire or presenting conclusions in the most convincing way. Of the many research books available this one stands out as it is clear, logically structured, explains sophisticated concepts in an accessible manner without oversimplifying them and has a format which students (at undergraduate and postgraduate) like. In addition the powerpoint slides that accompany the book provide an excellent basis for lectures and can be edited / adopted to personalise them. I anticipate using this book for quite some time on several courses. Dr Pete Allison, Coordinator of Masters Research courses at The Moray House School of Education, The University of Edinburgh |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
