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Showing 1 to 15 of 17 results Save | Export
Leone, Elizabeth L. – ProQuest LLC, 2023
Data collection and analyzation practices for English language development services are scarcely found in research, but needed in the subgroup of minority students commonly known as English language learners (Wiseman & Bell, 2021). Wiseman and Bell (2021) identified ELLs as one of the most under-documented student subgroups in the American…
Descriptors: Data Collection, Data Analysis, Second Language Learning, English Language Learners
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Wardrip, Peter S.; Herman, Phillip – Teacher Development, 2018
Internationally, there has been a policy push for using student data for instruction. Yet, research has noted few examples of actually understanding how this data-use practice takes place. This study presents a case of an instructional data team making sense of student data. The study shares data to show how teachers' process for using data to…
Descriptors: Faculty Development, Educational Improvement, Case Studies, Charter Schools
Brookhart, Susan M. – ASCD, 2015
In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…
Descriptors: Data, Decision Making, Student Evaluation, Data Analysis
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Lynch, David; Smith, Richard; Provost, Steven; Madden, Jake – Journal of Educational Administration, 2016
Purpose: This paper argues that in a well-organised school with strong leadership and vision coupled with a concerted effort to improve the teaching performance of each teacher, student achievement can be enhanced. The purpose of this paper is to demonstrate that while macro-effect sizes such as "whole of school" metrics are useful for…
Descriptors: Foreign Countries, Teacher Effectiveness, Academic Achievement, Data Interpretation
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Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions, but research also contains evidence many educators incorrectly interpret student data. Meanwhile, the types of detailed labeling on over-the-counter medication have been shown to improve use of non-medication products, as well. However, data systems most educators use…
Descriptors: Data, Decision Making, Accuracy, Statistical Analysis
Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy
Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
Muller, Robert D. – CNA Corporation, 2011
As a research and technical assistance organization, CNA Education would be the last to deny the importance of good data and the first to applaud efforts to improve the quality and scope of the data available. Solid data are critical to CNA's mission to further general understanding of the efficacy of specific education reform initiatives and to…
Descriptors: Data Analysis, Educational Change, Educational Research, Teacher Effectiveness
Bernhardt, Victoria L. – Eye on Education, 2007
In these times of high-stakes accountability, all professional educators must learn how to gather, analyze, and use data to improve teaching and learning, becoming efficient generators and consumers of data. The intended audiences for this book are school and district administrators and teacher leaders who recognize the need to use data to…
Descriptors: Audiences, Educational Change, Teacher Leadership, Educational Improvement
Jones, Joseph; Southern, Kyle – CNA Corporation, 2011
Federal education policy in recent years has encouraged state and local education agencies to embrace data use and analysis in decision-making, ranging from policy development and implementation to performance evaluation. The capacity of these agencies to make effective and methodologically sound use of collected data for these purposes remains an…
Descriptors: Data Analysis, Grants, Educational Policy, Federal Programs
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McDonald, Sarah-Kathryn; Andal, Jolynne; Brown, Kevin; Schneider, Barbara – Regional Educational Laboratory Midwest, 2007
Educational improvement through data-based decision-making using high-quality data is a longstanding goal of policymakers and practitioners, and ensuring the quality of the evidence available to inform such decisions is a key part of the No Child Left Behind Act of 2001. The evidence-based education that such initiatives promote involves the…
Descriptors: Educational Resources, Information Needs, Information Systems, Politics of Education
American Association of School Administrators, Arlington, VA. – 2002
School system leaders are discovering the power of data for promoting school improvement. This guide provides practitioners, parents, and community with insights and tools for cultivating a districtwide culture of data-driven inquiry. Chapter 1 points out that data provide quantifiable proof, taking the emotion and rancor out of the…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection
Carr, Nora – American School Board Journal, 2001
School leaders are developing a "just-in-time" approach to research and data analysis to help inform and shape their decisions. Careful analysis of data can reveal patterns that can be improved. The key is to focus districts' research and analysis on the issues that will make the biggest difference in terms of student, teacher, and…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Interpretation
National School Boards Association, Alexandria, VA. – 2001
This book is an easy-to-use guide for school boards in how to use data intelligently when evaluating student achievement, educational improvement, and school accountability. Its purpose is to encourage school boards to use data as a basis for their decision-making instead of speculation, perception, or limited observation. Board members can learn…
Descriptors: Academic Achievement, Accountability, Administrators, Board Administrator Relationship
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