Research applies big data to correlate qualitative features of U.S. college campuses to individual thriving and completion.

analytics-thrivevibeffect, a family-centered college-decision framework that helps students identify campuses where they’re most likely to thrive, has published a scientifically peer-reviewed paper on how predictive analytics can determine the campus features that most contribute to an individual’s likelihood to thrive and complete.

“The majority of research in the field of higher education attainment focuses on indicators of weakness (or dropout) or indicators of persistence,” said Elena M. Cox, CEO of vibeffect. “We challenged ourselves to scientifically...

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About the Author:

Laura Ascione

Laura Ascione is the Managing Editor, Content Services at eSchool Media. She is a graduate of the University of Maryland's prestigious Philip Merrill College of Journalism. When she isn't wrangling her two children, Laura enjoys running, photography, home improvement, and rooting for the Terps. Find Laura on Twitter: @eSN_Laura