Big Data on campus to decline dropout rates?


What if colleges could predict whether students would drop out of college before they had a chance to? How helpful would this information be in reducing dropout rates and increasing graduation rates?

Well, a new system may be able to help do just that, My20 reports.

“We have identified factors that can be predictors of student success, which gives colleges the ability to flag at-risk students,” says Eric Reich of Higher One’s Campus Labs platform. “Now, thanks to Higher One’s Campus Labs platform, colleges are able to use sophisticated data analysis techniques to understand more about students.”

Clues to how students are doing include how often they participate in campus activities (like sporting events or student organizations), how often they use campus services (such as checking in at the financial aid office, career center or computer labs) and how engaged they are with their own course work (providing course feedback or visiting professors during office hours).

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