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Holmes, Venita R. – Houston Independent School District, 2020
The CUT Juvenile Justice Diversion Program serves youth at risk of involvement in the criminal justice system. Targeted students are enrolled at five HISD secondary campuses in Fifth Ward, Texas. During the 2019--2020 academic year, the first year of the program, 60 students and their families were engaged in community support services guided by…
Descriptors: Delinquency, Prevention, Academic Achievement, Juvenile Justice
Liberman, Akiva; Cahill, Meagan – Urban Institute, 2012
This evaluation of the Case Management Partnership Initiative (CPMI) found that the program successfully linked high-need families with services designed to prevent truancy. The truancy prevention program, implemented at Anacostia and Ballou High Schools in 2011-2012, links chronically truant ninth graders and their families to social services and…
Descriptors: Truancy, Prevention, Grade 9, Program Implementation
Bangser, Michael – MDRC, 2013
In the United States, 1.6 million young people between 18 and 24 years old are out of school (lacking either a high school degree or General Educational Development certificate) "and" out of work. These "disconnected" young people face significant barriers to economic opportunity and distressingly high odds of becoming involved…
Descriptors: Out of School Youth, Barriers, At Risk Persons, Intervention
Theodos, Brett; Pergamit, Michael R.; Hanson, Devlin; Edelstein, Sara; Daniels, Rebecca – Urban Institute, 2016
Urban Alliance serves at-risk youth through its high school internship program, which provides training, mentoring, and work experience to high school seniors from distressed communities. The program aims to help youth move on to higher education or employment after graduation. The Urban Institute is conducting a six-year, randomized controlled…
Descriptors: Program Evaluation, Youth Programs, At Risk Students, High School Students
Lacefield, Warren E.; Applegate, E. Brooks; Zeller, Pamela J.; Van Kannel-Ray, Nancy; Carpenter, Shelly – Online Submission, 2011
This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…
Descriptors: Academic Failure, At Risk Students, Identification, Information Systems