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"The Predictive Analytics Reporting (PAR) Framework is a multi-institutional data mining project that brings together 2 year, 4 year, public, proprietary, traditional, and progressive institutions to collaborate on identifying points of student loss and to find effective practices that improve student retention in U.S. higher education. Current efforts focus on removing barriers to student success in online and blended programs. With sixteen WCET member institutions, over 1,700,000 anonymized student records and 8,100,000 institutionally de-identified course level records, the PAR Framework offers educational stakeholders a unique multi-instituional lens for examining dimensions of student success from both unified and contextual perspectives. More benefits of PAR Framework participation."