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Education Scotland, 2020
Through our national thematic reports HM Inspectors of Education share their professional view on particular aspects of education. This report focuses on sharing the key features which, when taken together, make the greatest difference to using assessment effectively to improve learning and teaching and in turn, outcomes for children and young…
Descriptors: Foreign Countries, Educational Assessment, General Education, Educational Practices
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
Thissen, David – Measurement: Interdisciplinary Research and Perspectives, 2015
In "Using Learning Progressions to Design Vertical Scales that Support Coherent Inferences about Student Growth" (hereafter ULR), Briggs and Peck suggest that learning progressions could be used as the basis of vertical scales with naturally benchmarked descriptions of student proficiency. They propose and provide a single example of a…
Descriptors: Academic Achievement, Achievement Gains, Achievement Rating, Psychometrics
American Institutes for Research, 2014
This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…
Descriptors: Data, Access to Information, State Policy, Guidelines
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
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
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Olson, Lynn – Education Week, 2004
This article discusses the increasing number of schools that met all of their 2004 annual achievement targets under U.S. federal law. Over half the states released at least preliminary lists of the number of schools that had made adequate yearly progress under the No Child Left Behind Act, based on 2003-04 test data. In general, the percentage of…
Descriptors: National Standards, Educational Improvement, Federal Legislation, Benchmarking
Trimble, Susan; Gay, Anne; Matthews, Jan – Middle School Journal (J3), 2005
Advances in technology available to access test data coupled with the challenges of No Child Left Behind (NCLB) are pushing schools to grapple with the complexities of test score data. With the current frenzy to raise test scores, there is little attention being paid to teacher development in learning to use data to improve learning. For the past…
Descriptors: Scores, Academic Achievement, Data Interpretation, Evaluation Utilization