3 Ways Big Data Can Soften the Campus Dropout Crisis
AUGUST 7, 2017
And like any major problem, this mass exodus of dropouts must be addressed sooner rather than later through innovative interventions. The “soft” predictors, those subtle hints that are precursors to student dropout. To be sure, not all university personnel are eschewing social platforms’ value; Kaplan’s study in 2015 suggested that 40 percent of surveyed institutions based potential freshman acceptance rates partially on candidates’ web social interactions.