Faculty advisors

The purpose of this single site case study was to identify how four advising teams in a medium-sized public university adapt to the changes presented to them and what role leadership and culture play in that adaptation. This was accomplished through analysis of advisor and administrator interviews, office and meeting observations, and reviews of documents relating to advising and university changes in curriculum and systems. The study was guided by team culture and the five core adaptation strategies described by Eckel and Kezar (2003). The study indicates that although part of the same institution, each advising team has a unique culture and approach to doing their work. In turn each team has a different approach to their adaptation to the change that affects them. The study began with an examination of how and if the advising teams use the five core adaptation strategies described by Eckel and Kezar (2003). It was found that these adaptation strategies were not utilized because they require authority and the advisors do not have the organizational control necessary to use these strategies. However, the study revealed that the advising teams adapt to their environment through coping mechanisms depending on the type of adaptation. It was also found that the responses the advising teams have to particular change events depends on when they find out about the change as well as the culture and leadership of the teams. Consequently, their resilience to changes is a result of their ability to either absorb the change or alter their system quickly in reaction to the change. Implications are presented for universities and the advising teams in addition to recommendations for future study.

The purpose of this study was to examine students' preferred methods of academic advising services and whether they related to their individual learning styles. The first objective of the study was to determine each participant's learning style. The second objective of the study was to determine which method of academic advising each participant preferred. The third objective of the study was to determine whether a relationship existed between the participants' learning styles and preferred methods of academic advising. Additionally, the moderating effect of gender, ethnicity, college major, high school grade point average (GPA), location, and employment on the relationship was considered. Students' learning styles were measured by the Barsch Learning Style Inventory (BLSI). Academic advising preference and demographic information were gathered through a researcher-designed questionnaire. All students (N=1,184) who completed the Online Advising & Registration System (OARS) were cont acted via e-mail and received a web link to the BLSI and student questionnaire. Data from the students (n=172) who completed the BLSI and student questionnaire were analyzed. Correlation and multiple regression analysis were used to analyze the quantitative data. A qualitative analysis of four open-ended survey questions was completed. The results found no relationship between participants' learning styles and their preferred methods of academic advising services. Additionally, gender, ethnicity, college major, high school GPA, location, and employment did not moderate the relationship between participants' learning styles and their preferred methods of academic advising services. The findings suggest that a student's learning style is not associated with his or her preference for type of advising.