most citedStem-ming the Tide: Predicting STEM attrition using student transcript data

13 citations · 13 across the 1 of their papers we have counts for

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stat.OT2017★ 13 cited

Stem-ming the Tide: Predicting STEM attrition using student transcript data

Lovenoor Aulck, Rohan Aras, Lysia Li +3

Science, technology, engineering, and math (STEM) fields play growing roles in national and international economies by driving innovation and generating high salary jobs. Yet, the…