Data can help career and technical education programs refine their models, pinpoint successes, and communicate lessons with funders and stakeholders. Drawing in part on conversations with leaders in the field, this brief outlines four steps programs can take to strengthen their data-collection and measurement activities and develop robust data strategies.
In the spring of 2019, MDRC invited practitioners from innovative career and technical education (CTE) programs to discuss questions of equity. This policy brief summarizes the most common equity challenges that were raised in the discussion, along with ideas that emerged for how to address them.
A First Look at Effects on Postsecondary Persistence and Labor Market Outcomes
Four years after scheduled graduation, students from small high schools of choice, which have nonselective admissions and serve many disadvantaged students, were more likely to be enrolled in postsecondary education and to be participating in “productive activity” (being in college, being employed, or both) than their control group counterparts.
Benefits and Costs of the RecycleForce Enhanced Transitional Jobs Program
This benefit-cost analysis examines an Indianapolis program that offered subsidized jobs, case management, peer mentorship, and other support to former prisoners. The program reduced incarcerations and increased employment and earnings among participants, and the overall benefits to society from these effects outweighed program costs.
Launching the Drive to Write Program
How do schools encourage students to write more and teachers to offer more comments on student writing? How can schools use technology more effectively to support this shift in instruction? What makes achieving both of these goals difficult? The Drive to Write program tackles these challenges.
Building a School Choice Architecture
As school choice systems expand, district enrollment offices are striving to make the choice process accessible and clear for families. This practitioner brief offers lessons for supporting families through the sequence of decisions involved as they engage in the process, search for information, and compare and select schools.
Evidence from the Evaluation of the PACE Center for Girls
Born out of research showing that girls and boys have different risk factors and pathways into the justice system, gender-responsive programs focus on girls’ unique needs and strengths. This brief summarizes the developing research on their effectiveness and describes how one program enacts the principles in its service delivery.
Results from a Partnership Between New Visions for Public Schools and MDRC
A custom-designed intervention aimed to improve New York City high school students’ attendance by using text messaging to send parents daily absence updates and weekly attendance summaries. The rapid-turnaround randomized evaluation found that the short-term intervention did not improve attendance rates during the second semester of the 2015-2016 school year.
A Primer for Researchers Working with Education Data
Predictive modeling estimates individuals’ probabilities of future outcomes by building and testing a model using data on similar individuals whose outcomes are already known. The method offers benefits for continuous improvement efforts and efficient allocation of resources. This paper explains MDRC’s framework for using predictive modeling in education.
This brief describes how Broward County Public Schools adopted a community of practice approach to help schools implement additional support for students in the ninth grade, a critical juncture for many of them and a long-standing focus of high school reforms and dropout-prevention initiatives.