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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
Kate Stepleton; Diane Schilder; Carly Morrison; Catherine Kuhns; Irma Castañeda; Jonah Norwitt; Olivia Mirek; Anna Fleming – Office of Planning, Research and Evaluation, 2024
Federal guidance allows Head Start grant recipients to apply to the Office of Head Start to shift funding (i.e., convert enrollment slots) from Head Start services for preschool-age children to Early Head Start services for pregnant women, infants, and toddlers. Yet scant information is available about how grant recipients navigate the conversion…
Descriptors: Social Services, Low Income Students, Federal Programs, Early Intervention
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