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Bret Bailey – ProQuest LLC, 2024
The purpose of this quantitative study was to provide school district leaders and policymakers information of the impact grade configuration had on academic performance using math and ELA ILEARN scores over a three-year period. The study included data from 585 schools that were classified into four groups: Elementary Setting, Intermediate Setting,…
Descriptors: Academic Achievement, Grade 6, Data, Mathematics
Complete College America, 2023
Measurement systems give colleges a structure for collecting, sharing, and acting on data. The guidebook and tools presented here help faculty, staff, college leadership, and policymakers understand and use measurement systems--and specifically use data to improve completion rates, close institutional performance gaps, and facilitate economic…
Descriptors: Measurement, Guides, College Faculty, College Administration
Moeller, Eliza; Seeskin, Alex; Nagaoka, Jenny – University of Chicago Consortium on School Research, 2018
The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…
Descriptors: Public Schools, Data Collection, Data Analysis, Educational Improvement
Rafa, Alyssa – Education Commission of the States, 2017
Research shows that chronic absenteeism can affect academic performance in later grades and is a key early warning sign that a student is more likely to drop out of high school. Several states enacted legislation to address this issue, and many states are currently discussing the utility of chronic absenteeism as an indicator of school quality or…
Descriptors: Attendance Patterns, Academic Achievement, Educational Policy, At Risk Students
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
Cowan, D'Ette; Joyner, Stacey; Beckwith, Shirley – Corwin, 2012
For many districts, the improvement process can seem like trying to nail Jello to the wall. This fieldbook shows how to avoid a haphazard approach by focusing on all aspects of the system and specific issues that have most impact upon student achievement. This multidimensional process also entails increasing the competencies of everyone involved…
Descriptors: Academic Achievement, Educational Improvement, Systems Approach, Instructional Leadership
Spradlin, Terry; Cierniak, Katherine; Shi, Dingjing; Chen, Minge – Center for Evaluation and Education Policy, Indiana University, 2012
This Education Policy Brief summarizes the research and data analysis completed by the Center for Evaluation and Education Policy (CEEP) on Indiana's student attendance and absenteeism data. The study was initiated by The Indiana Partnerships Center and conducted by CEEP with funding from USA Funds and State Farm. Additional partners in the study…
Descriptors: Academic Achievement, Average Daily Attendance, Educational Change, Best Practices
Council of Chief State School Officers, 2013
The "Surveys of Enacted Curriculum" (SEC) is a Web-based tool that provides K-12 mathematics, science, English language arts, and social studies teachers with consistent data, both on current instructional practices and the content actually being taught in their classrooms (the "how" and the "what"). Survey results are presented in clear and…
Descriptors: State Standards, Teaching Methods, Needs Assessment, Faculty Development
Kekahio, Wendy; Baker, Myriam – Regional Educational Laboratory Pacific, 2013
Using data strategically to guide decisions and actions can have a positive effect on education practices and processes. This facilitation guide shows education data teams how to move beyond simply reporting data to applying data to direct strategic action. Using guiding questions, suggested activities, and activity forms, this guide provides…
Descriptors: Research Utilization, Data Analysis, Strategic Planning, Decision Making
Sharratt, Lyn; Fullan, Michael – Corwin, 2012
Students are people--not data. Assessment data can bury you or give you focused information on how to reach every student. "Putting Faces on the Data" 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 from more…
Descriptors: Learner Engagement, School Culture, Academic Achievement, Data Analysis
Williamson, Ronald; Blackburn, Barbara R. – Principal Leadership, 2009
Principals are often overwhelmed by the sheer amount of data they have and are unsure how to use the information. When the authors talk about "data," they mean all the information principals have or might collect that can support their work with teachers to make their school more rigorous. The authors believe that data can guide decision making,…
Descriptors: Principals, Data Analysis, Decision Making, Accountability
Xiang, Yun; Hauser, Carl – Northwest Evaluation Association, 2010
The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…
Descriptors: Academic Achievement, Comparative Analysis, Policy Formation, Data Analysis
Crow, Tracy, Ed. – National Staff Development Council, 2009
"The Learning Principal" is an eight-page newsletter published eight times a year. It focuses on the important and unique work of school principals. This issue includes: (1) Data Analysis Is a Courageous Look in the Mirror (Valerie von Frank); (2) Q&A: Opening Doors, Opening Minds (Valerie von Frank); (3) Focus on NSDC's [National Staff…
Descriptors: Data Analysis, Principals, Newsletters, Administrator Role
Bienkowski, Marie; Feng, Mingyu; Means, Barbara – Office of Educational Technology, US Department of Education, 2012
As more of commerce, entertainment, communication, and learning are occurring over the Web, the amount of data online activities generate is skyrocketing. Commercial entities have led the way in developing techniques for harvesting insights from this mass of data for use in identifying likely consumers of their products, in refining their products…
Descriptors: Teaching Methods, Learning Processes, Data Analysis, Barriers
Hamilton, Laura; Halverson, Richardson; Jackson, Sharnell S.; Mandinach, Ellen; Supovitz, Jonathan A.; Wayman, Jeffrey C. – National Center for Education Evaluation and Regional Assistance, 2009
The purpose of this practice guide is to help K-12 teachers and administrators use student achievement data to make instructional decisions intended to raise student achievement. The panel believes that the responsibility for effective data use lies with district leaders, school administrators, and classroom teachers and has crafted the…
Descriptors: Federal Legislation, Elementary Secondary Education, Student Evaluation, Academic Achievement