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Stem-ming the Tide: Predicting STEM attrition using student transcript data
In this paper, we detail our efforts to model and predict dropout from STEM fields using one of the largest known datasets used for research on students at a traditional campus setting.
Predicting Student Dropout in Higher Education
Each year, roughly 30% of first-year students at US baccalaureate institutions do not return for their second year and over $9 billion is spent educating these students.
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