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von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Chang, Hedy – Attendance Works, 2018
The California Department of Education (CDE) released statewide chronic absence data in December 2017 via DataQuest, an interactive data portal. To better understand chronic absence at the school level, Attendance Works collaborated with the Center for Regional Change at UC Davis and Children Now to analyze the data available from DataQuest and…
Descriptors: Attendance Patterns, Public Schools, Incidence, High School Students
Swail, Watson Scott; Fung-Angarita, Maly – Educational Policy Institute, 2018
The issue of student retention and graduation from postsecondary institutions has grown in stature over the past decade. While the last 40 years of federal and state policies have focused largely on access to college, there is now a very real interest in not only getting students into college but also helping them earn baccalaureate and other…
Descriptors: Data Collection, Postsecondary Education, College Students, School Holding Power
Education Trust, 2016
All across the country, leaders in colleges and universities are asking the same question: What can we do to improve student success, especially for the low-income students and students of color whose graduation rates often lag behind? This second practice guide: "Using Data to Improve Student Outcomes: Learning from Leading Colleges"…
Descriptors: Data Analysis, Information Utilization, Student Improvement, Outcomes of Education
Rankin, Jenny Grant – Online Submission, 2014
The benefits of making data-informed decisions to improve learning rely on educators correctly interpreting given data. Many educators routinely misinterpret data, even at districts with proactive support for data use. The tool most educators use for data analyses, which is an information technology data system or its reports, typically reports…
Descriptors: Data Analysis, Information Systems, Information Utilization, Guides
James Irvine Foundation, 2015
The Exploring Engagement Fund provides risk capital for arts nonprofits to experiment with innovative ideas about how to engage diverse Californians. In order to understand the variety of Californians engaged in arts experiences, this guide is intended to support current and future Fund grantees in collecting participant information. Exploring…
Descriptors: Art Activities, Private Financial Support, Participant Characteristics, Low Income Groups
Reporting Data with "Over-the-Counter" Data Analysis Supports Increases Educators' Analysis Accuracy
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…
Descriptors: Statistical Data, Data Interpretation, Data Analysis, Error of Measurement
Corsello, Maryann; Sharma, Anu; Jerabek, Angela – Grantee Submission, 2015
Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…
Descriptors: Teacher Collaboration, Student Improvement, Improvement Programs, Information Utilization
Kanstoroom, Marci, Ed.; Osberg, Eric C., Ed. – Thomas B. Fordham Institute, 2008
America brims with education data and these days it seems everyone in education claims to be guided by data. In this book, leaders and scholars map the landscape of data providers and users and explores why what is supplied by the former but frequently fails to meet the needs of the latter. It documents the barriers to collecting good information,…
Descriptors: Education, Data, Data Analysis, Data Collection
National Survey of Student Engagement, 2009
Assessment is a worthwhile undertaking when meaningful data are generated, evidence-based improvement initiatives are thoroughly considered and discussed, and results are ultimately used to improve educational effectiveness. National Survey of Student Engagement (NSSE) results are oriented toward such practical use. Each year, more campuses use…
Descriptors: National Surveys, Learner Engagement, Student Surveys, Undergraduate Students
Herman, Joan L.; And Others – 1990
Findings from a study that explored the ways in which principals use information on school quality are presented in this paper. The effects of school level, years of administrative experience, students' socioeconomic status, and school performance are also examined. Methodology involved interviews and follow-up interviews with a total of 38…
Descriptors: Data Analysis, Educational Assessment, Elementary Secondary Education, Informal Assessment