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A BluePrint for Success: Case Studies of Successful - Educational ...

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Data-­‐Driven Practices<br />

A Blueprint <strong>for</strong> <strong>Success</strong><br />

Data are collected annually, typically in association with the summer program. Because in the past<br />

the programming stopped at 9th grade, the high school and college graduation data were only loosely<br />

connected to program activities. As the program has expanded to support students through high<br />

school and (in the future) college, data collection is also expanding to ensure that each new grade<br />

level is effectively supported. Specifically, data are used in four ways to improve practices.<br />

First, data permit identification <strong>of</strong> students who are <strong>of</strong>f-track, so that interventions may<br />

occur. For example, at an alumni visit day recently, program staff identified three high school<br />

freshmen who are already <strong>of</strong>f-track <strong>for</strong> high school graduation. Program staff are now<br />

working with these students to help them enroll in smaller high schools where they will get<br />

more individualized attention and support.<br />

Second, program staff look at grade-level data to gauge the effectiveness <strong>of</strong> all program<br />

components. For example, the High School Transition Program is focused directly on<br />

increasing the percentage <strong>of</strong> rising 9th graders who enroll in high-quality college preparatory<br />

high schools. The baseline data (prior to program supports) was 20 percent. The first year<br />

data (with only minimal supports in the fall) was 30 percent. The second year data (with<br />

both summer and fall supports) rose to 50 percent. With the current class, who are receiving<br />

more focused supports in summer and fall plus a family education piece, the program hopes<br />

to improve this percentage to 70 percent.<br />

Third, annual family surveys provide in<strong>for</strong>mation to guide program improvement and<br />

expansion, and also show the areas where families are pleased with programming. For<br />

example, both the Middle School Academic-Year Program and the College Transition<br />

Program were added in response to the summer 2010 family survey.<br />

Fourth, surveys help gauge student and family satisfaction with various program<br />

components, from the nutrition program to field trips to individual classes. With regard to<br />

the last <strong>of</strong> these three, survey data helps determine where to focus supports and instructional<br />

guidance <strong>for</strong> faculty.<br />

With the shift in the focus <strong>of</strong> the program from high school completion, then college access, and<br />

now college completion, the need <strong>for</strong> reliable data has increased. With prior and current cohorts <strong>of</strong><br />

students, however, there has never been an expectation <strong>of</strong> commitment to a 10-year program. This<br />

has resulted in some gaps in the data regarding alumni success in college. There<strong>for</strong>e, some data ef<strong>for</strong>ts<br />

work to provide insight into the accuracy <strong>of</strong> the overall data program (i.e., seeking to find lost<br />

alumni, who are ultimately likely to have less-successful outcomes than those who respond to the<br />

surveys and calls). Moving <strong>for</strong>ward, the program intends to clearly indicate to entering students in<br />

6 th grade that this is a long-term, college-completion program and to track student outcomes data<br />

through to college completion.<br />

<strong>Educational</strong> Policy Institute 98 www.educationalpolicy.org

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