Today the American Council on Education’s Center for Education Attainment and Innovation released “Moving the Needle on Predictive Analytics,” describing the emerging trend of predictive analytics in US postsecondary education. PAR is featured among the higher ed innovators working to improve student success with data. Per the finding of this report, the key is to transition from harvesting data to learning how to use it strategically in developing new and better ways to help students learn—and getting those findings to faculty and students so they can have an impact. “When it comes to data on campus, the challenge increasingly seems to be that we’re drowning in information, but thirsting for wisdom”.
The report describes PAR’s work connecting predictions to action, and talks about PAR’s approach linking predictions to interventions. The “promise of the predictive,” notes Ellen Wagner, PAR chief research officer, “is the recognition that if you can connect predictive to the types of interventions that make the most sense for the students who are predicted to be at risk, that you’ve actually been able to find a true way to make the analytics matter more.”
The report also notes that Civitas Learning developed predictive models that leverage historical student data with PAR member institution University of Maryland University College to develop student performance apps. It also notes that PAR member institution Sinclair Community College (OH) uses the open source Student Success Plan (developed by PAR chief innovation officer Russ Little) as a holistic coaching and counseling model that expedites proactive interventions for students in need (we’re pleased to note that PAR Framework predictives work with SSP to exchange data.)
The key is to transition from harvesting data to learning how to use it strategically in developing new and better ways to help students learn—and getting those findings to faculty and students so they can have an impact, the paper concludes.