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Multiple Pathways to Graduation:Using Data to Understand Target PopulationsThe cities successfully shaping Multiple Pathways to Graduation are using data about students to drive their decision making process. Data segmentation can accurately identify which groups of students are most likely to fall off track to graduation, and how and why it happens. With this kind of knowledge, districts can begin to shape effective plans and policies that increase graduation rates. Each school district has its own context requiring a custom approach to data segmentation. Each of the cities below committed to the goal of increasing graduation rates, but approached the process in different ways. New York City New York City established the Office of Multiple Pathways to Graduation (OMPG) to analyze the dropout crisis in the city, and understand the needs of the overage and under-credited (OA/UC) high school student population-the students most at risk for dropping out. This analysis led to the development of a differentiated portfolio of educational models designed to bring these students to New York State graduation standards and prepare them for meaningful post-secondary opportunities. The Office of Multiple Pathways to Graduation developed a comprehensive strategic plan with financial support from the Bill and Melinda Gates Foundation and analytic support from the Boston-based Parthenon Group. The resulting dataset, representing an unprecedented examination of student experience within a school system, has been critical to system transformation grounded in student population needs. Insights gained through this first strategic planning engagement have led to internal and foundation support for continued analysis to inform comprehensive secondary planning. This report explains more about their process and findings. Philadelphia With support from the William Penn Foundation the Philadelphia Youth Transitions Collaborative's Project U-Turn used a unique set of data obtained from the Kids Integrated Data System (KIDS), which is housed at the University of Pennsylvania's Cartographic Modeling Laboratory. The KIDS system merges individual-level data on young people from the School District of Philadelphia and the city's social service agencies, including the Department of Public Health, the Department of Human Services, and the Office of Emergency Shelter and Services. The resulting data allows cohorts of students to be followed over multiple years, examining their educational outcomes as well as the predictors of graduation and dropout. For more information go to Project U-Turn. To read their report go here. Portland Portland's research looked at data for the Portland Public Schools Class of 2004 as it moved through high school to expected graduation in June 2004. The study was undertaken as the basis for determining how to implement support effectively to increase the number of students who graduate from high school. The research focused on learning what indicators best predict which students are at risk for failing to graduate and determining when, by year and quarter, students are most likely to disengage from school. The study examined the PPS Class of 2004 as a cohort, tracing their longitudinal progress on a student-by-student basis. The analytic technique used to track students was adapted for sociological research from survival analysis as originally developed by medical researchers. This approach permits the researcher to focus on individual students' level of risk, defined in terms of whether they will graduate, as it varies at each quarter from the beginning of 9th grade through expected time of graduation (in this case, June 2004). Using this methodology to analyze multiple years of longitudinal data on every student in the cohort yields clear evidence of significant patterns of behavior, and thus reveals accurate predictors for determining which students are at risk for not graduating. It also indicates what the best timing is for implementing successful interventions to support these students. For more information go to Connected By 25. To read their report go here. Boston In the last ten years Boston's schools have improved dramatically, but the drop out rate remained unacceptably high. Like other cities successfully creating Multiple Pathways to Graduation, Boston's first step was segmenting their student population to better understand which student's were dropping out. In conjunction with The Bill & Melinda Gates Foundation, Jobs for the Future, and The Parthenon Group, the district commissioned a study to develop a data-driven, citywide strategy to reduce the dropout rate and increase the graduation rate. Findings from the study Strategic Planning to Serve Off-Track Youth: Review and Strategic Implications have provided an unprecedented understanding of Boston's off-track youth, providing valuable data to inform the expansion and development of educational programming to meet the needs of all students. Based on this study, Boston found four predictors that count for 75 percent of their dropout population. They are:
Asking Questions to Guide the Process Implementing a multiple pathways to graduation reform process is not a one-size-fits-all undertaking. Any district beginning the process will want to design a segmentation analysis that addresses the specific needs and concerns of their students and schools. Cities that have done the segmentation have found answering the following questions helpful: What do we know about the students that enter 9th grade-and what happens to them?
Additional Resources The Consortium on Chicago School Research conducts research of high technical quality that can inform and assess policy and practice in the Chicago Public Schools. See their publication What Matters for Staying On-Track and Graduating in Chicago Public Schools |
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