Open AccessThe Influence of Student Support Programs upon the Academic Success of Nontraditional Students
Author(s) -
Renee' Allen Dauer,
Beverly M. Absher
Publication year - 2015
Publication title -
international journal of education
Language(s) - English
Resource type - Journals
ISSN - 1948-5476
DOI - 10.5296/ije.v7i4.7733
Subject(s) - attrition , psychology , population , demographics , student engagement , academic achievement , academic year , medical education , mathematics education , medicine , demography , sociology , dentistry
The profile of the typical college student attending a 4-year institution is changing. Trends indicate that while the population of traditional students, aged 18-22, remains flat or is declining, the population of nontraditional students, aged 24 and older, is increasing. As a result, nontraditional students have become the new traditional student population. Despite this shift in student demographics, many colleges and universities have been slow to respond to the changing needs of their student populations. Consequently, nontraditional students are forced to navigate an academic environment that is ill equipped to provide the unique support they need to achieve academic success. Previous studies have primarily focused on the academic success of nontraditional students in relation to student attrition and retention. The purpose of this study was to determine if there was a significant relationship between the academic success of nontraditional students and the use of student support programs. Data from the 2011 National Survey of Engagement were used for the study. Results from this study indicate that there is a direct correlation between the use of student support programs and the academic success of nontraditional students; however, the relationship is weak. In addition, age and gender were found to influence some of the relationships between academic success and the use of student support programs. In contrast, race or ethnicity was not shown to influence the relationships between the variables of interest. Findings may help leaders in higher education to make more informed and strategic decisions regarding student support programs and resource allocation.