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This study provides a deeper understanding of the challenges facing community college transfer students in engineering and their faculty advisors at a 4-year research university. Using a phenomenological approach, data was analyzed from interviews with nine engineering transfers and seven faculty advisors. The findings unveiled nuanced barriers faced by engineering transfers and their faculty advisors, including transfers’ academic unpreparedness and struggles with nonacademic responsibilities; advisors’ heavy workload, disconnection with other student services, and lack of communication with community college advisors; and restrictions on course selection and program requirements in 4-year engineering programs. The findings provide meaningful insights into developing new policies and practices to improve the academic advising experience for engineering transfers. 

Guided by the notion of academic momentum, this study drew data from longitudinal transcript records at a large public 4-year research university and examined factors that specifically contribute to community college transfer students’ academic momentum. It also explored how early academic momentum along with students’ sociodemographic characteristics impact degree attainment in science, technology, engineering, and mathematics (STEM) fields of study. This study conducted multinomial logistic regression analysis and found that certain students’ background characteristics (i.e., gender, age, and family income), community college academic achievement (i.e., associate degree completion, and number of community college credits accepted), and early academic performance at the 4-year university (math and English preparedness, number of credit hours attempted, and first-semester grade point average) were significantly related to transfer students’ likelihood of obtaining a STEM degree. The findings provide new knowledge about academic momentum and could be used to enhance the community college pathway to STEM degree completion. 

Focusing on community college transfer students who declared a STEM major at their initial transfer to a four-year research university, this study examined the extent to which students’ sociodemographic characteristics and academic factors were related to STEM persistence and attrition. This study tracked multiple cohorts of transfer students matriculated at the fouryear university between fall 2007 and fall 2014, and used data drawn from their transcript records. The findings indicated that STEM switchers, who obtained a non-STEM degree within six years of their initial transfer, were more likely to be older learners, female, and of non-Asian race/ethnicity than STEM persisters, who earned a STEM degree within six years. STEM Leavers, who did not earn any degree within six years, were more likely to be older, non-Asian, first-generation, and had a low or middle family income than STEM persisters. The study also found that STEM switchers and leavers were more likely to transfer over a lower number of courses, attempted fewer courses in the first semester, withdrew one or more courses, and received a lower semester GPA. In terms of mathematics preparation, STEM switchers and leavers were less likely to complete Calculus I or more advanced courses. The study contributes to the literature on STEM persistence and attrition, especially for STEM aspirants who transferred from community colleges to four-year universities. The findings also provide new knowledge about STEM attrition by comparing students who departed from STEM with or without earning a non-STEM degree.