The Predictive Analytics Reporting Framework Moves Forward
By Mary Grush
In the spring of 2011, WCET announced that it had received funding from the Bill & Melinda Gates Foundation for the Predictive Analytics Reporting Framework, to apply predictive analytics in higher education and examine the feasibility of creating a federated database to look for patterns of student loss (e.g., dropping out) and momentum (e.g., achieving academic success). In a few short months, six participating institutions (the American Public University System, the Community College System of Colorado, Rio Salado College, the University of Hawaii System, the University of Illinois-Springfield, and the University of Phoenix) have contributed “anonymized” student and course level records to a very large dataset. Project researchers have already begun to examine variables affecting student success, using the common dataset; rigorous and expanded analysis is planned.
- Big Data Comes to US Higher Education (hollymccracken.wordpress.com)
- Data-Driven Decision-Making: Using Analytics to Improve Learning and Drive Student Performance (hollymccracken.wordpress.com)