WCET Predictive Analytics Reporting (PAR) Framework Project Delivers Millions of Course Records for Review and Analysis

Landmark multi-institutional federated online learning database results in over 640,000 student and 3,000,000 federated course-level records from six unique institutions.

WCET, the WICHE Cooperative for Educational Technologies, announces the successful federation of datasets from the six institutions participating in the PAR (Predictive Analytics Reporting) Framework proof of concept project just four months after the project’s early June launch. The goal of the PAR Framework is to identify variables that influence student retention and progression and to determine the impact of various demographic data on factors influencing loss and momentum. The data will be used to explore patterns that emerge when the datasets from considerably different institutions are analyzed as a single, unified sample.

The dataset includes over 640,000 anonymized student records and over 3 million course level records, focusing on 33 common variables. The institutions represent public/private, two-year/four-year, and publicly-funded and proprietary institutions.

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