Advance

good practices and sound policies that accelerate the effective adoption and use of technologies in teaching and learning.

The Predictive Analytics Reporting (PAR) Framework is a non-profit multi-institutional data mining collaborative 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. 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.

About PAR Newsroom

Presentations Partners

PAR Framework Executive Team

• Beth Davis
• PAR Director
• Sage Road Solutions

• Phil Ice
• Principal Investigator
• American Public University System (APUS)

• Cali Morrison
• Manager, WCET Communications
• 303-541-0234

WCET Member Institutions Partners

*denotes founding partner institution.

• American Public University System*
• Ashford University
• Broward College
• Capella University
• Colorado Community College System*
• Lone Star College System
• Penn State World Campus
• Rio Salado College*
• Sinclair Community College
• Troy University
• University of Central Florida
• University of Hawaii System*
• University of Illinois Springfield*
• University of Maryland University College
• University of Phoenix*
• Western Governors University

The work of the PAR Framework is supported by multiple grants from the Bill & Melinda Gates Foundation.