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Copa, Nancy; Campbell, Jim; Roberson, Amanda Janice – Institute for Higher Education Policy, 2022
As support continues to grow across the country and across the political spectrum for the federal student-level data network (SLDN) proposed in the College Transparency Act (CTA), IHEP partnered with AEM Education Services, with input from RTI International, to further build out a roadmap to support the implementation of the SLDN. "Frameworks…
Descriptors: Information Networks, College Students, Data Collection, Data Use
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
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Phillips, Brad C.; Horowitz, Jordan E. – New Directions for Community Colleges, 2013
The completion agenda is in full force at the nation's community colleges. To maximize the impact colleges can have on improving completion, colleges must organize around using student progress and outcome data to monitor and track their efforts. Unfortunately, colleges are struggling to identify relevant data and to mobilize staff to review…
Descriptors: Community Colleges, Academic Persistence, College Role, Data Collection
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
Watson, John; Pape, Larry – Evergreen Education Group, 2015
Public schools in the United States operate under state accountability systems that vary by state and are meant to measure individual school performance against criteria determined by state policymakers. The purpose of these systems is to hold each school accountable for increasing student performance. However, it has become clear that a single…
Descriptors: Accountability, Elementary Secondary Education, Public Schools, Electronic Learning
Data Quality Campaign, 2014
Early warning systems combine multiple data points, translate them into predictive indicators that are based on research, and proactively communicate them to stakeholders, so they can examine which students are or are not on track for postsecondary success and intervene accordingly. Early warning reports provide the student-level information…
Descriptors: Information Management, Information Systems, At Risk Students, Student Records
Office of Planning, Evaluation and Policy Development, US Department of Education, 2015
This report examines state and school district implementation of the Education for Homeless Children and Youth (EHCY) program, based on surveys of state EHCY coordinators and district homeless liaisons and analysis of extant data. The study included state and school district surveys to examine program implementation during the 2010-11 school year;…
Descriptors: Homeless People, Access to Education, Program Implementation, At Risk Students
Parveva, Teodora; Motiejunaite, Akvile; Noorani, Sogol; Riihelainen, Jari – Education, Audiovisual and Culture Executive Agency, European Commission, 2016
This Eurydice report contains more than 30 detailed structural indicators, up-to-date figures, definitions, country notes and a short analysis of recent key policy developments and reforms in five areas: early childhood education and care, achievement in basic skills, early leaving from education and training, higher education and graduate…
Descriptors: Foreign Countries, Annual Reports, Educational Indicators, Early Childhood Education
Data Quality Campaign, 2010
States have made tremendous progress in developing longitudinal data systems that can track student progress and answer critical policy questions. However, more work is needed, particularly on certain elements. Data on course-taking and grades (element 6), college readiness test scores (element 7), and other feedback from post-secondary…
Descriptors: Academic Achievement, Feedback (Response), Tests, Longitudinal Studies
National Archives and Records Administration, 2009
The Secretary of Education (Secretary) establishes requirements, definitions, and approval criteria for the State Fiscal Stabilization Fund (Stabilization or SFSF) program. The Secretary may use one or more of these requirements, definitions, and approval criteria in awarding funds under this program in fiscal year (FY) 2010. These requirements,…
Descriptors: Educational Finance, Resource Allocation, Financial Support, Criteria
Dougherty, Chrys – Data Quality Campaign, 2008
A growing number of educators and policymakers have begun focusing on the goal of preparing all or nearly all high school students for college and other advanced postsecondary learning opportunities. To meet this goal, states are adopting policies to encourage nearly all students, not just those seeking entry into competitive four-year colleges,…
Descriptors: College Preparation, High School Students, Postsecondary Education, Higher Education
Steiny, Julia; Smith, Nancy J. – Data Quality Campaign, 2007
With the passage of the No Child Left Behind Act (NCLB), state education agencies (SEAs) and local educational agencies (LEAs) have stepped up activities to broadly expand their data collection and reporting systems. The Data Quality Campaign (DQC) has advocated strongly for states to build robust student-level longitudinal data systems based on…
Descriptors: Federal Legislation, Educational Legislation, Data Collection, Data Analysis