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Sommo, Colleen; Lepe, Marco; Ratledge, Alyssa – MDRC, 2022
Open-access colleges are an important pathway to economic mobility for millions of Americans. But graduation rates at these colleges are low--for example, only 36 percent of first-time, full-time freshmen at community colleges graduate within three years. Over the last two decades, MDRC and others have conducted research to build the evidence base…
Descriptors: COVID-19, Pandemics, Academic Support Services, Student Financial Aid
Preel-Dumas, Camille; Hendra, Richard; Denison, Dakota – MDRC, 2023
This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…
Descriptors: Labor Force Development, Programs, Prediction, Success
Dalporto, Hannah – MDRC, 2019
Career and technical education (CTE) programs (programs that teach students specific workplace skills aligned with the labor market) may track data for lots of different reasons: to comply with funding requirements, to manage their services and continually improve, to measure their progress toward their goals, and to evaluate whether they are…
Descriptors: Vocational Education, Data Use, Program Development, Data Collection
Miller, Cynthia; Cohen, Benjamin; Yang, Edith; Pellegrino, Lauren – MDRC, 2020
College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…
Descriptors: College Students, Academic Advising, Technology Uses in Education, Faculty Advisers