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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
Cynthia Miller; Michael Weiss – MDRC, 2021
This paper presents new estimates of the effects of the City University of New York (CUNY) Accelerated Study in Associate Programs (ASAP) model, evaluated using a randomized controlled trial first in New York and later through a replication in Ohio. It describes longer-term effects of CUNY ASAP in New York, showing that the program's effects on…
Descriptors: Community Colleges, Program Effectiveness, Associate Degrees, Bachelors Degrees
Ratledge, Alyssa; Sommo, Colleen; Cullinan, Dan; O'Donoghue, Rebekah; Lepe, Marco; Camo-Biogradlija, Jasmina – MDRC, 2021
Postsecondary education is widely seen as a necessity in the modern economy. Yet students at community colleges often face steep odds when it comes to completing a degree. Community colleges serve many low-income and first-generation students as well as students of color, all of whom must contend with many obstacles to success. At the same time,…
Descriptors: Community Colleges, Two Year College Students, At Risk Students, High School Graduates
Ratledge, Alyssa; Sommo, Colleen; Cullinan, Dan; O'Donoghue, Rebekah; Lepe, Marco; Camo-Biogradlija, Jasmina – MDRC, 2021
Postsecondary education is widely seen as a necessity in the modern economy. Yet students at community colleges often face steep odds when it comes to completing a degree. Community colleges serve many low-income and first-generation students as well as students of color, all of whom must contend with many obstacles to success. At the same time,…
Descriptors: Community Colleges, Two Year College Students, At Risk Students, High School Graduates