Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…

Describes a study of variables associated with student intentions to attend community colleges or other higher education institutions, based on responses to the student profile section of the American College Testing Assessment Program. Indicates that community college students were generally lower achievers than others but had taken more advanced…