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Author : David Willows
Publisher : John Catt Educational Ltd
Page : 97 pages
File Size : 46,9 Mb
Release : 2012
Category : School management and organization
ISBN : 9781908095466
Author : Singh, Manoj Kumar,G., Dileep Kumar
Publisher : IGI Global
Page : 324 pages
File Size : 46,6 Mb
Release : 2016-06-20
Category : Computers
ISBN : 9781522501831
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
Author : Anthony G. Picciano
Publisher : Prentice Hall
Page : 260 pages
File Size : 53,5 Mb
Release : 2006
Category : Education
ISBN : UVA:X004903184
Brief ContentsPrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Planning and Developing Information Resources Hardware, Software, and People Educational Research Methods and Tools Teachers and Administrators as Researchers Basic Applications Student Data, Demographics, and Enrollments School and the Community Financial Management and Budgeting Supporting Teaching and Learning Supporting Teachers and Their Professional Development Technical Support Review of Statistical Routines Used in this Book Introduction to Spreadsheet Software Introduction to the Statistical Package for the Social Sciences (SPSS) Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex Contents PrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Rationale for Adopting Data-Driven Decision Making Purpose of This Book Defining Data-Driven Decision Making An Old Idea: Knowledge Is Power Need for Planning The Systems Approach Organization of This Book SummaryReferences Planning and Developing Information Resources School Districts Take the Lead Defining Information Needs Database Management Systems Long-Term and Short-Term Data Resources SummaryCase StudyReferences Hardware, Software, and People A Brief Look at Infrastructure Hardware for Effective Data Management and Access Client-Server Architecture Software for Data Analysis Developing People Resources The Data Analyst SummaryCase StudyReferences Educational Research Methods and Tools The Scientific Method and Educational Research Educational Research Methods Ethnographic Research Historical Research Descriptive Research Correlational Research Causal Comparative Research Experimental Research Action Research Data Collection Tools Direct Observation Structured Interviews Document Analysis Surveys Test Instruments SummaryCase StudyReferences Teachers and Administrators as Researchers Learning Communities Action Research in Action Trial Testing a Peer Tutoring Program Multiple Intelligences in a Foreign Language Program Advancing to an Inclusion Program SummaryActivitiesReferences Basic Applications Student Data, Demographics, and Enrollments Student Data Enrollment Projections at the District Level Attendance Zones and Individual Schools Taking a Census Special Student Populations SummaryActivitiesReferences School and the Community Partnering with the Community: Broad-Based Surveys Anatomy of a Survey Who Will Participate in the Survey? What Data Will Be Collected? Data Analysis Is the Sample Representative of the High School Population? Do Students Have Access to the Internet? The Committee's Next Steps SummaryActivitiesReferences Financial Management and Budgeting Basic Terminology School District Budget School Budget The Canton Alternative School Budget Emergency SummaryActivitiesReferences Supporting Teaching and Learning States, Cities, Districts, Schools, Classes, Teachers, Students Improving Teaching and Learning Jefferson Middle School Developing a Plan Information Overload: A Caution SummaryActivitiesReferences Supporting Teachers and Their Professional Development Summative and Formative Evaluation Collecting Personnel Data Kingsland School District Case Study Keeping Track of Professional Development SummaryActivitiesReferences Technical Support Review of Statistical Routines Used in this Book Key Terms Descriptive Statistical Procedures Frequency Distributions Contingency Tables (Crosstabulations) Measures of Central Tendency Measures of Dispersion Measures of Relationship Correlational Coefficient Linear Regression Caution Introduction to Spreadsheet Software Overview and Key Terms Spreadsheet Structure Data Types and Data Manipulation Charts and Graphics Introduction to the Statistical Package for the Social Sciences (SPSS) Overview The Data Editor Creating a Data Set Defining Variables Transforming Data Options Data Analysis Procedures and the Output Viewer Graphs and Charts Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex.
Author : David Plotkin
Publisher : Newnes
Page : 248 pages
File Size : 40,5 Mb
Release : 2013-09-16
Category : Computers
ISBN : 9780124104457
Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards
Author : Leslie Jones,Eugene Kennedy
Publisher : IAP
Page : 63 pages
File Size : 53,7 Mb
Release : 2015-02-01
Category : Education
ISBN : 9781623969875
The purpose of this publication is to provide school leaders and other educators with insight into practical uses of data and how to create school cultures conducive to effective data use. Practicing school leaders can benefit from this publication as well as teachers who use data in their classrooms to drive instruction. Another use of this book is for graduate schools that prepare K-12 school leaders. Because of accountability and the importance of data use in schools, data driven decisions and the effective use of data are critical. In A Guide to Data-Driven Leadership in Modern Schools, the use of data as aligned to educational reform is discussed. Accountability and standardized testing are vital elements of reform. The culture must be created in schools to address multi- facets of data use which is presented in Chapter 2 of the publication. The use of data should guide/inform decisions linked to both management and instruction in schools. In Chapter 3, the use of data to inform management is discussed; and the use of data to inform instruction is presented in Chapter 4. Practices of effective management and instructional leadership are obsolete without effective personnel in schools. The use of data in personnel evaluations is explored in Chapter 5.
Author : Ellen B. Mandinach,Edith S. Gummer
Publisher : Teachers College Press
Page : 305 pages
File Size : 45,5 Mb
Release : 2021
Category : Education
ISBN : 9780807779910
This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they impact decisionmaking. They will understand how codes of ethics deal with the use of data within education as well as in other disciplines. Chapters provide a landscape view of the regulations that pertain to data use and policies that have emerged, including the impact of accountability on data use and data ethics. The text covers data ethics in local education agencies, professional development, educator preparation, testing programs, and educational technology. Chapter authors recommend steps to improve awareness among educators, stakeholders, and other interested groups and suggest actions that can be taken to enhance educators’ capacity to use data responsibly. A final use case chapter describes the importance of data ethics in terms of equity in schools and includes salient examples of ethical dilemmas, with questions and reflections on how ethics and equity apply to each situation. The conclusion addresses data ethics in terms of professionalism and poses several recommendations to challenge educators in ways to raise awareness of and integrate data ethics into educational practice. Book Features: Discusses how accountability affects effective data, including the pressure on schools and districts to perform better on test scores or other indicators. Outlines ten recommendations for how professional development can incorporate data ethics in practice.Reviews the expectations and realities of preparing educators for data literacy, including an example of one teacher education program’s integrated, curriculum-wide approach. Considers the role of testing companies in ethical data use, including issues around equity in assessment data.Explores how educational technologies, platforms, and applications impact data use. Contributors: Wayne Camara, Michelle Croft, Amanda Datnow, Chris Dede, Edward Dieterle, Sherman Dorn, Paul Gibbs, Edith S. Gummer, Beth Holland, Taryn A. Hochleitner, Jo Beth Jimerson, Marie Lockton, Ellen B. Mandinach, Sharon L. Nichols, Diana Nunnaley, Brennan McMahon Parton, Amelia Vance, Alina von Davier, Casey Waughn, Haley Weddle
Author : Danette McGilvray
Publisher : Academic Press
Page : 376 pages
File Size : 54,6 Mb
Release : 2021-05-27
Category : Computers
ISBN : 9780128180167
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today’s data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization’s standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach Contains real examples from around the world, gleaned from the author’s consulting practice and from those who implemented based on her training courses and the earlier edition of the book Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
Author : John Ladley
Publisher : Academic Press
Page : 352 pages
File Size : 48,9 Mb
Release : 2019-11-08
Category : Computers
ISBN : 9780128158326
Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. Incorporates industry changes, lessons learned and new approaches Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations Includes new case studies which detail real-world situations Explores all of the capabilities an organization must adopt to become data driven Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy Provides up to 75% brand-new content compared to the first edition
Author : Anthony Kelly,Christopher Downey
Publisher : Routledge
Page : 236 pages
File Size : 55,8 Mb
Release : 2010-12-13
Category : Education
ISBN : 9781136848940
Data metrics in schools are becoming increasingly complex, but despite their best efforts, teachers and academics generally find them something of a ‘black-box’. This book lifts the lid on that box, exploring the provenance and problematization of existing techniques and developing new algorithms for measuring the more oblique aspects of in-school performance. Using contextual value-added measures in England as a foundation - they have become the template of choice for policy-makers around the world and a basis for some excellent school effectiveness research - the book explores the potential of performance and progress data to guide student and teacher self-evaluation, to set targets and allocate resources, to evaluate initiatives and identify good practice, to assess and reward staff responsibility, and to inform policy in relation to emerging issues like school choice, equality of opportunity and post-compulsory progression. Chapters are sectioned in three parts - ‘Past’, ‘Present’ and ‘Future’ - and cover: the historical journey from raw-threshold to refined-contextual measures of school effectiveness research and policy on pupil attainment and value-added data the leading UK government and Fischer Family Trust models issues relating to differential effectiveness and the interpretation of data how best to blend data from different sources new non-cognitive metrics for assessing social and emotional aspects of learning (SEAL) and staff responsibility managing data for school improvement and understanding professional attitudes to it. Using Effectiveness Data for School Improvement brings together for the first time in one place the various metrics and models, and their basis in research. A full technical specification is included so that both ‘data experts’ and ‘data novices’, academics and practitioners, can use the book to understand and maximize what is potentially a hugely transforming, but under-utilized, resource and an increasingly important aspect to school and curriculum management.
Author : Julia B. Keleher
Publisher : ProQuest
Page : 128 pages
File Size : 44,7 Mb
Release : 2007
Category : Decision making
ISBN : 0549182594
Chapter 1 presents a summary of literature on the need for more data-driven planning and decision making in schools and districts. The chapter begins with an explanation of how changes in Federal legislation have created a heightened need for data-driven decision-making and have led to increased use of data in education. The second part of Chapter 1 draws on research literature and explains the role of Data Management Systems (DMS) in supporting data-driven decision making (DDM) and positive outcomes for instruction and learning. The last part of Chapter 1 identifies school-level challenges that compromise educators' ability to utilize data. Chapter 2 provides information about the Red Clay Consolidated School District. The chapter begins with a description of Red Clay's student population, schools, budget, and organizational structure. The relationship between Red Clay's performance on State and local assessments and the district's School Improvement Plan (SIP) model is presented. Chapter 2 also describes the DMS currently available in Red Clay and provides an overview of the district's 2006 Strategic Plan and professional development strategies. Chapter 3 focuses on the problem addressed in this Executive Position Paper. The chapter begins with evidence that DMS and DDM are underutilized among Red Clay's School Level Administrators (SLAs) and School Level Educators (SLEs). Next, the purpose of this study and the organizational improvement goals are outlined. The chapter concludes with a description of the sample used in this study and an overview of the data collection strategies employed. Chapter 4 presents recommendations for increasing the use of DMS and DDM among SLAs and SLEs. The recommendations presented in this chapter are focused around three main ideas: increasing access to data, promoting greater use of data, and modifying the district's professional development offerings to support greater use of DMS and DDM. Each recommendation presented in this chapter is supported by data collected in this study. The chapter concludes with a plan for implementing these recommendations. Input from Red Clay staff was used to determine the viability of the proposed plan. Chapter 5 provides a framework for evaluating the recommendations proposed in Chapter 4. Short-term indicators of effectiveness will include increased rates of accessing and analyzing data and greater interest in professional development opportunities related to DMS tools and DDM practices. Long-term indicators of effectiveness will include improved instructional leadership among SLAs, improved instructional practices among SLEs, and greater capacity among all Red Clay educators to use DMS and engage in DDM practices.
Author : Joseph P. McDonald,Nora M. Isacoff,Dana Karin
Publisher : Teachers College Press
Page : 169 pages
File Size : 52,7 Mb
Release : 2018-06-22
Category : Education
ISBN : 9780807759073
This timely book explores what data use in teaching really is, how it works in theory and practice, and why it sometimes fails to achieve expected goals. Each chapter includes a discussion of a new direction that schools and teachers can take to ensure that data use in teaching actually spurs growth in learning.
Author : Dr. Howie Knoff
Publisher : Project ACHIEVE Press
Page : 77 pages
File Size : 55,5 Mb
Release : 2009-02-02
Category : Education
ISBN : 9780979656415
Today%u2019s school-wide Positive Behavioral Support approaches are more specific, integrated, effective, and comprehensive than ever before. This Electronic Book (E-Book) describes the components and specific elements of Project ACHIEVE%u2019s evidence-based Positive Behavioral Self-Management System (PBSS) that (a) addresses the prevention, intervention, and intensive needs of challenging students, and (b) is fully consistent with NCLB and IDEA. Project ACHIEVE is a national award winning school improvement program that has been designated as an evidence-based through two federal agencies%u2014for example, the Department of Health & Human Service%u2019s Substance Abuse and Mental Health Services Administration (SAMHSA). This E-Book first describes Project ACHIEVE%u2019s PBSS at the primary, secondary, and tertiary prevention levels, focusing on the following areas: (a) teaching children and adolescents functional self-management skills, using the Stop & Think Social Skills Program, such that they master and demonstrate interpersonal, problem-solving, and conflict resolution skills as well as independent learning and academic engagement skills; (b) teaching teachers the instructional self-management skills that they need to run positive, effective classrooms that consistently hold students accountable for their behavior, and that result in student learning and behavioral growth; and (c) teaching school staff organizational self-management skills so that they develop the systemic approaches needed for identifying resources and building capacity to independently sustain successful building-wide services for the prevention, strategic intervention, and intensive support needs of all students. The six critical components that make up the PBSS then are presented in detail: (a) the Stop & Think Social Skills Program; (b) the development of grade-level and building-wide accountability systems; (c) how to increase staff and student consistency; (d) the analysis of %u201Cspecial situations%u201D-- behavioral situations that occur in the common areas of a school and/or that involve peer-mediated teasing, taunting, bullying, harassment, and physical aggression; (e) crisis prevention, intervention, and response; and (f) the importance of home and community outreach. Finally, the E-Book focuses specifically %u201CSpecial Situations%u201D and %u201CSpecial Situation Analyses.%u201D There are two types of %u201CSpecial Situations%u201D%u2014Setting-specific and Student- or Peer-specific. The Setting-specific Special Situations involve the common or %u201Cpublic%u201D areas of a school: the hallways, bathrooms, cafeteria, playground, media center/library, buses, and other school gathering places. The Student- or Peer-specific Special Situations involve the continuum from teasing to taunting to bullying to harassment to physical aggression or fighting. Clearly, these %u201Csetting%u201D and %u201Cstudent%u201D situations are critical to a PBSS as they can (positively) contribute to a school%u2019s positive climate, or they can (negatively) interfere with the classroom climate, making it more difficult for students to be completely engaged and focused on academic achievement. In order to develop strategic interventions for these negative special situations, this E-Book describes how to conduct a %u201CSpecial Situations Analysis%u201D%u2014a systematic data-based problem-solving process that links Problem Identification to Functional Assessment/Problem Analysis to Intervention and to Formative and Summative Evaluations. The Functional Assessment/Problem Analysis domains discussed will include: (a) Student Characteristics, Issues, and Factors; (b) Teacher/Staff Characteristics, Issues, and Factors; (c) Environmental Characteristics, Issues, and Factors-- Physical Plant and Logistics; (d) Incentives and Consequences; and (e) Resources. For Student-specific Special Situations, the Peer Group is added to the analysis. In the end, this E-Book describes a functional, effective, and comprehensive school-wide system that maximizes students%u2019 academic achievement, creates safe school environments and positive school climates, increases and sustains effective classroom instruction and parent involvement, and collects data to demonstrate student and building outcomes. This E-Book describes the necessary components of a PBSS, and provides an in-depth and practical, step-by-step approach to the Special Situation Analysis, demonstrating its explicit link with the strategic interventions that help schools to decrease or eliminate these issues%u2014thus, increasing their positive and productive school climates and classroom settings.
Author : Jenny Grant Rankin
Publisher : Routledge
Page : 238 pages
File Size : 53,9 Mb
Release : 2016-03-02
Category : Education
ISBN : 9781317353355
Designing Data Reports that Work provides research-based best practices for constructing effective data systems in schools and for designing reports that are relevant, necessary, and easily understood. Clear and coherent data systems and data reports significantly improve educators’ data use and save educators time and frustration. The strategies in this book will help those responsible for designing education data reports—including school leaders, administrators, and educational technology vendors—to create productive data reports individualized for each school or district. This book breaks down the key concepts in creating and implementing data systems, ensuring that you are a better partner with teachers and staff so they can work with and use data correctly and improve teaching and learning.
Author : Nicholas Walliman
Publisher : Routledge
Page : 224 pages
File Size : 44,8 Mb
Release : 2017-09-13
Category : Social Science
ISBN : 9781315528991
Research Methods: The Basics is an accessible, user-friendly introduction to the different aspects of research theory, methods and practice. This second edition provides an expanded resource suitable for students and practitioners in a wide range of disciplines including the natural sciences, social sciences and humanities. Structured in two parts – the first covering the nature of knowledge and the reasons for research, the second the specific methods used to carry out effective research and how to propose, plan, carry out and write up a research project – this book covers: • Reasons for doing a research project • Structuring and planning a research project • The ethical issues involved in research • Different types of data and how they are measured • Collecting and analysing qualitative and quantitative data in order to draw sound conclusions • Mixed methods and interdisciplinary research • Devising a research proposal and writing up the research • Motivation and quality of work. Complete with a glossary of key terms and guides to further reading, this book is an essential text for anyone coming to research for the first time.
Author : Husein Abdul-Hamid
Publisher : Directions in Development
Page : 0 pages
File Size : 49,7 Mb
Release : 2017
Category : Business & Economics
ISBN : 1464810990
Data are a crucial ingredient in any successful education system, but building and sustaining a data system are challenging tasks. Many countries around the world have spent significant resources but still struggle to accomplish a functioning Education Management Information System (EMIS). On the other hand, countries that have created successful systems are harnessing the power of data to improve education outcomes. Increasingly, EMISs are moving away from using data narrowly for counting students and schools. Instead, they use data to drive system-wide innovations, accountability, professionalization, and, most important, quality and learning. This broader use of data also benefits classroom instruction and support at schools. An effective data system ensures that education cycles, from preschool to tertiary, are aligned and that the education system is monitored so it can achieve its ultimate goal--producing graduates able to successfully transition into the labor market and contribute to the overall national economy. Data for Learning: Building a Smart Education Data System and its forthcoming companion volume shed light on challenges in building a data system and provide actionable direction on how to navigate the complex issues associated with education data for better learning outcomes and beyond. Data for Learning details the key ingredients of successful data systems, including tangible examples, common pitfalls, and good practices. It is a resource for policy makers working to craft the vision and strategic road map of an EMIS, as well as a handbook to assist teams and decision makers in avoiding common mistakes. It is designed to provide the "how-to" and to guide countries at various stages of EMIS deployment. A forthcoming companion volume will focus on digging deeper into the practical applications of education data systems by various user groups in different settings.