This study was designed to explore the advising styles that are currently perceived and preferred by African American and White students in the College of Engineering at Virginia Tech. The high attrition rate of African Americans in the engineering colleges both nationally and at Virginia Tech makes it critical to investigate what can be done to increase retention. The lack of awareness of academic advising preferences could be a major component in the high attrition of African American students in the College of Engineering at Virginia Tech. Moreover, increased awareness and understanding for advisors, faculty, administrators and even students will befall, and in turn strengthen retention. The purpose of this study was to determine; (a) the current advising African American and White students in the College of Engineering at Virginia Tech are perceiving; prescriptive versus developmental; and (b) what the preferences are for advising African American and White students in engineering; prescriptive versus developmental. This study specifically examined the comparisons between race, gender, classification, grade point average (GPA), and major. The instrument that was administered via the Internet is called the Academic Advising Inventory (Winston & Sander, 1984). This four-part instrument measures the level of the developmental or prescriptive advising that occurs between students and advisors and student satisfaction with advising in the College of Engineering. The sample consisted of a total of 373 undergraduate engineering students, 265 (71%) males and 108 (29%) females. African Americans made up 35% (n = 132) of the sample and Whites 65% (n = 241). The sample consisted of 25% (n = 93) African American males, 10% (n = 39) African American females, 46% (n = 172) White males, and 19% (n = 69) White females. A two-way analysis of variance (ANOVA) and t-tests were conducted to analyze differences in advising style when categorized by race, gender, classification, GPA, and major. The results revealed a significant difference between the style of academic advising currently perceived by African American and White engineering students. The majority of the African Americans reported receiving prescriptive advising and the majority of the Whites reported receiving a developmental style of advising. The results also indicated that the majority of the African American males (55%) perceived receiving a prescriptive style of advising. When looking at African Americans when categorized by classifications, all reported receiving a prescriptive style of advising. The junior class of African Americans was the only group that is borderline prescriptive/developmental. The ANOVA test also indicated a significant interaction between race and GPA. Results showed that African Americans engineering students in the GPA categories of 1.0-1.9 and 2.0-2.9 reported receiving prescriptive advising, while the 3.0-3.9 category of African Americans reported receiving developmental advising. This data was not consistent with White students in the GPA category of 1.0-1.9. All White students regardless of GPA reported receiving a developmental style of advising. All engineering students regardless of race, gender, classification, GPA, or major preferred a developmental style of advising. African American females significantly preferred a more developmental style of advising than the other groups. A Chi square test of independence also indicated that a significantly large portion of African American students felt that their academic advisor did not understand them. / Ph. D.

The purpose of this study was to examine the type of advising conducted (prescriptive v. developmental), the type of information sought, and the level of participant satisfaction gained through online academic advising. For purposes of this study, online academic advice was defined as advice or information provided by an academic department obtained via the Internet to improve the student's academic experience. The three types of online academic advice considered for this study included (a) email correspondence with an academic advisor, (b) instant messaging or chat based conversation between a participant and an academic advisor, (c) and obtaining academic information from a department supported web page. To obtain a sample for this study, academic deans were contacted by email and asked to distribute a link for an online survey to their respective undergraduate student populations. Data was collected by administering a version of Winston and Sandor's (1984) Academic Advising Inventory (AAI) modified specifically for this study. Participants were asked to complete the multiple-choice instrument online. The researcher conducted t-tests, ANOVAs, and Tukey post-hoc tests on the data in an effort to examine the mean scores between four groups: (a) gender, (b) type of residency, (c) race, and (d) academic college. The data revealed significant results pertaining to several key differences between groups including gender, race, and academic college. The findings shed light on needs and satisfaction of students who receive academic advice online. The results suggest ways to provide consistency among the online academic advising methods of different academic colleges and ways to better meet the needs of students in an effort to increase retention. / Master of Arts