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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
National Forum on Education Statistics, 2018
The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education's Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
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
Rankin, Jenny Grant – Universal Journal of Educational Research, 2016
Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…
Descriptors: Evidence Based Practice, Data Interpretation, Information Utilization, Standards
Grunow, Alicia; Hough, Heather; Park, Sandra; Willis, Jason; Krausen, Kelsey – Policy Analysis for California Education, PACE, 2018
Under emerging policy structures in California, the responsibility for school improvement is increasingly placed upon local school districts, with County Offices of Education (COEs) playing a critical support role. In this system, districts are responsible for school improvement, with counties in charge of ensuring quality across districts and…
Descriptors: Educational Improvement, Educational Quality, School Effectiveness, Educational Policy
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
Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Smolarek, Bailey B.; Hora, Matthew T. – Wisconsin Center for Education Research, 2016
Drawing on insights from culturally responsive K-12 education frameworks and dual process theory, this qualitative study explores the situated nature of reflective practice among postsecondary faculty and calls for increased critical awareness and institutional support. Through interviews with 21 California research university faculty, this study…
Descriptors: Culturally Relevant Education, Qualitative Research, Interviews, Research Universities
Carnevale, Anthony P.; Garcia, Tanya I.; Gulish, Artem – Georgetown University Center on Education and the Workforce, 2017
This report shows how state leaders are using technological advances to improve the use of data in five critical areas: (1) Helping economic and workforce developers, businesses, and colleges to reduce the high costs resulting from uninformed education and workforce decisions; (2) Assisting college leaders in making program-related decisions that…
Descriptors: Education Work Relationship, Career Readiness, Data, Information Utilization
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
Coughlin, Mary Ann – Council of Independent Colleges, 2014
Postsecondary institutions are under increasing scrutiny to provide evidence of student learning. Despite efforts to increase the number and frequency of assessments of student learning, many colleges and universities need help to make good use of assessment results for the improvement of teaching and learning. To address this need, in February…
Descriptors: Private Colleges, Data, Information Utilization, College Outcomes Assessment
Medlock, Vicky – CURRENTS, 2012
It was not all that many years ago that advancement services was thought of as the "back office"--a term that still makes veterans in the field cringe. Historically, the role of advancement services was keeping donor and alumni records up-to-date, processing gifts, sending receipts, and generating fundraising progress reports. However,…
Descriptors: Institutional Advancement, Colleges, Data, Information Utilization