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Pretlow, Josh; Dunlop Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. In partnership with RTI International (RTI), operating in an independent capacity, IHEP is gathering expert insights needed to support making…
Descriptors: College Students, Data, Information Networks, Federal Programs
Goldhaber, Dan; Holden, Kris – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Understanding the nature of the "early teacher pipeline," how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, we conclude that the two national data collections that can be used to explore the early teacher pipeline provide an incomplete and contrasting pictures of the supply…
Descriptors: Preservice Teachers, Teacher Supply and Demand, Problems, Information Systems
Goldhaber, Dan; Holden, Kristian L. – Phi Delta Kappan, 2021
Understanding the early teacher pipeline, how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, as Dan Goldhaber and Kris Holden explain, the two national data collections that can be used to explore these areas provide incomplete and sometimes contrasting pictures about the number of…
Descriptors: Career Choice, Teaching (Occupation), Data Collection, Teacher Education Programs
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Sean Mackney; Robin Shields – International Perspectives on Education and Society, 2019
This chapter examines the application of learning analytics techniques within higher education -- learning analytics -- and its application in supporting "student success." Learning analytics focuses on the practice of using data about students to inform interventions aimed at improving outcomes (e.g., retention, graduation, and learning…
Descriptors: Learning Analytics, Academic Achievement, College Students, Data Use
Brown, Chequita S. – Office of Community College Research and Leadership, 2021
In Illinois, there are more than 21,000 children and youth in foster care. Approximately 26% of these individuals are 13 and older (Illinois Department of Children & Family Services [IDCFS] 2021). Although career and technical education (CTE) programs are offered at both secondary and postsecondary educational levels, little to no data about…
Descriptors: Foster Care, Vocational Education, Access to Education, Admission (School)
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
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Cooper, Michelle Asha; Leegwater, Lacey – Change: The Magazine of Higher Learning, 2018
In recent years the fight for equity in higher education has intensified. Institutional leaders, advocates, and policymakers alike are seeking scalable solutions that rapidly close equity gaps among this nation's most underserved populations. Too many hardworking students still struggle to afford a college education, and historically underserved…
Descriptors: Postsecondary Education, Higher Education, Equal Education, Educational Policy
Aliyeva, Aida; Cody, Christopher A.; Low, Kathryn – National Postsecondary Education Cooperative, 2018
This report updates the 2011-12 Integrated Postsecondary Education Data System (IPEDS) survey components report--"The History and Origins of Survey Items for the Integrated Postsecondary Education Data System"--in order to reflect the 2016-17 data collection. As the first report did, this report provides an inventory of the IPEDS data…
Descriptors: Postsecondary Education, School Surveys, Test Items, Data Collection
de Velasco, Jorge Ruiz; Gonzales, Daisy – Policy Analysis for California Education, PACE, 2017
California's alternative education options for youth vulnerable to dropping out of school have been established at different historical points and for different student age and target populations. For purposes of this brief, "alternative school" is defined as belonging to one of six legislatively authorized types of public (non-charter)…
Descriptors: Nontraditional Education, Accountability, Comparative Analysis, Alignment (Education)