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Harris, Douglas N.; Farmer-Hinton, Raquel; Kim, Debbie; Diamond, John; Reavis, Tangela Blakely; Rifelj, Kelly Krupa; Lustick, Hilary; Carl, Bradley – Brookings Institution, 2018
The price of college is rising, making college feel out of reach for a rising share of Americans. Families can borrow to be sure, but with total student loan debt now above $1 trillion nationally, the situation seems unsustainable. It is no surprise then that in the campaign for U.S. President in the 2016 election, nearly all candidates of both…
Descriptors: Higher Education, Paying for College, Tuition, Costs
O'Rourke, Patrick C., Jr. – ProQuest LLC, 2013
Increasingly more service members are separating from the military as the United States draws down the force and moves towards a post-war era. Tens of thousands of these veterans will leverage their GI Bill tuition and housing benefits in an attempt to access Southern California community colleges and bolster their transition into mainstream…
Descriptors: Military Service, Military Personnel, Veterans Education, Community Colleges
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Curtin, Jenny; Hurwitch, Bill; Olson, Tom – National Center for Education Statistics, 2012
An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…
Descriptors: Databases, Educational Indicators, Predictor Variables, At Risk Students
Clery, Sue; Topper, Amy – Achieving the Dream, 2009
Using data from Achieving the Dream: Community Colleges Count, this issue of "Data Notes" is the second of a two-part series investigating the characteristics of stop-outs at Achieving the Dream colleges. In this issue, students who stop out during high- frequency terms are examined by age, developmental referral status, grade point average and…
Descriptors: Grade Point Average, College Credits, Grants, Student Characteristics
Center for Community College Student Engagement, 2012
Community colleges across the country have created innovative, data-informed programs that are models for educating underprepared students, engaging traditionally underserved students, and helping students from all backgrounds succeed. However, because most of these programs have limited scope, the field now has pockets of success rather than…
Descriptors: Learner Engagement, Student Attitudes, Community Colleges, Focus Groups
Schaffhauser, Dian – Campus Technology, 2009
Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…
Descriptors: Community Colleges, Educational Strategies, Academic Support Services, Attendance Patterns