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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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Bergman, Barbara – Journal of Staff Development, 2012
Teachers in the Federal Way (Wash.) Public Schools had no shortage of student data. Standardized test scores, unit tests, and report card grades were as familiar to educators as reading, writing, and arithmetic. With the onset of statewide testing in the 1990s, data analysis was expanded to cover a multitude of state learning goals in grades 4, 7,…
Descriptors: Academic Achievement, Data Analysis, Data Interpretation, Evaluation Utilization
Data Quality Campaign, 2011
This document presents an interactive visual guide that explains what data are, how they help, and what people can do with them. It also offers ways to enact statewide policies that support effective data use.
Descriptors: Academic Achievement, Educational Improvement, Student Improvement, Educational Innovation
Carey, Kevin – Education Sector, 2012
For years California has been a leader in public education. In 1999, the state implemented some of the strongest content standards in the country through its main accountability metric, the Academic Performance Index (API). The state has also signed onto the Common Core State Standards, taking important steps to ensure its students are college-…
Descriptors: State Standards, Standardized Tests, Academic Achievement, Educational Quality
Melucci, Laura – ProQuest LLC, 2013
The purpose of this study was to determine how teacher perceptions of data and use of data-driven instruction affect student performance in English language arts (ELA). This study investigated teachers' perceptions of using data in the classroom and what supports they need to do so. The goal of the research was to increase the level of knowledge…
Descriptors: Teacher Attitudes, Data, Information Utilization, Evidence Based Practice
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Popham, W. James – Educational Leadership, 2009
Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Student Evaluation
Washington State School Directors' Association (NJ1), 2008
This guide is designed to inform school directors about the value of a data dashboard and to provide information on how districts can create a data dashboard for school directors. A data dashboard is a tool for viewing and analyzing student achievement and performance data. Key data for monitoring student achievement and directing policy level…
Descriptors: Educational Improvement, Academic Achievement, Charts, School Effectiveness
Shellard, Elizabeth – 2002
in this era of standards, high-stakes testing, and accountability, school leaders need to know how they can increase the achievement of their students. Researchers have found that high-achieving schools show common, key factors, including challenging learning experiences for all students, a principal who fulfills his/her role as the instructional…
Descriptors: Academic Achievement, Accountability, Administrator Role, Data Analysis
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Bank, Adrianne; Williams, Richard C. – 1985
This document is divided into two parts: the first presents a taxonomy of questions designed for a hypothetical computer database; the second describes the rationale for a question oriented approach to data. This taxonomy is described as a list of questions an educator might use to find out more about the achievement, attendance, and…
Descriptors: Academic Achievement, Attendance Records, Classification, Computer Oriented Programs
Sirotnik, Kenneth A.; And Others – 1985
This paper presents a study of the contrast of social and clinical perspectives on the selection and use of information by school staff, including: (1) an outline of the context and activities of the study; (2) a definition and discussion of the basic distinction between social and clinical perspectives; (3) an examination of case material…
Descriptors: Academic Achievement, Computer Oriented Programs, Data Interpretation, Databases
Educational Research Service, Arlington, VA. – 2003
The results from high-stakes assessments have often been used to merely grade and rank schools and students. But a new trend is emerging, according to this brief. Educators are beginning to see the power of using assessment data to improve instruction. This brief discusses ways to use data to improve instruction at the school, classroom, and…
Descriptors: Academic Achievement, Accountability, Data Collection, Data Interpretation