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. These clues exist not just in classroom performance or student transcripts, but also on social media sites and in other virtual landscapes. Still, universities could be using social cues more effectively. Evaluate social signals.