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Sage, Andrew J.; Cervato, Cinzia; Genschel, Ulrike; Ogilvie, Craig A. – Journal of College Student Retention: Research, Theory & Practice, 2021
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…
Descriptors: Majors (Students), Identification, Student Satisfaction, At Risk Students
Robinson, Kristy A.; Lee, You-kyung; Bovee, Emily A.; Perez, Tony; Walton, S. Patrick; Briedis, Daina; Linnenbrink-Garcia, Lisa – Journal of Educational Psychology, 2019
This longitudinal study investigated development in expectancy for success (perceived competence), 3 types of task value (utility, interest, attainment), and 3 types of perceived cost (opportunity, effort, psychological) for engineering students during their first 2 years of college. Latent growth curve models indicated declines in expectancy and…
Descriptors: Success, Competence, Engineering Education, Grade Point Average