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Akos, Patrick; James, Scott – NACADA Journal, 2020
Course withdrawals have significant cost and curricular implications for both students and institutions. Yet within the retention literature, little is known about the context or impact of course withdrawals. This study examines course withdrawals of first year students from a sample of nine universities. Data reveal that demographic and…
Descriptors: Withdrawal (Education), Courses, School Holding Power, College Freshmen
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Wang, Charles Xiaoxue; Houdyshell, Michael – NACADA Journal, 2021
When COVID-19 struck, higher education experienced major disruptions. Important functions like academic advising were no exception, and the traditional face-to-face model shifted online with remote academic advising (RAA), which uses synchronous communication technologies (e.g., Zoom, Microsoft Teams, Google Meets). In this quantitative research…
Descriptors: Academic Advising, Synchronous Communication, Computer Mediated Communication, Videoconferencing
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Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
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Shaw, Emily J.; Barbuti, Sandra – NACADA Journal, 2010
In this study, we examined patterns of persisting in and switching from an intended college major (chosen in high school) in the third year of college. We focused on science, technology, engineering, and math (STEM) major persistence because of the national effort to increase those entering STEM careers. Results showed differences in persistence…
Descriptors: Majors (Students), Academic Achievement, STEM Education, Academic Persistence
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Mottarella, Karen E.; Fritzsche, Barbara A.; Cerabino, Kara C. – NACADA Journal, 2004
A policy capturing approach was used to examine the advising variables that contribute to student satisfaction. Students (N = 468) rated 48 scenarios in which advising approach, relationship, advisor gender, emotional nature of the relationship, and type of advisor were manipulated. Results show that being known to the advisor, having a…
Descriptors: Student Attitudes, Academic Advising, Faculty Advisers, Student Personnel Services