Utilizing College Advising Centers To Facilitate and Revitalize Academic Advising

1982 ◽  
Vol 2 (1) ◽  
pp. 13-23 ◽  
Author(s):  
ROBERT W. SPENCER ◽  
ERLEND D. PETERSON ◽  
GARY L. KRAMER
2020 ◽  
Vol 40 (2) ◽  
pp. 49-62
Author(s):  
Adriana Ruiz Alvarado ◽  
Avery B. Olson

In an effort to promote the advancement of the advising profession, this study examines trends related to current knowledge of academic advising and the relationships between various forms of postsecondary advising practices and student outputs. Using content analysis techniques, we analyzed research articles published in NACADA Journal between 2004 and 2018 to identify trends in the ways academic advising has been studied. Major findings include the small number of studies (n = 18) over a 15-year period that relate advising to outputs and the lack of research focusing on underrepresented student populations despite the continued significant growth of these diverse groups. Recommendations highlight characteristics of academic advising that may benefit from further scholarly inquiry.


2002 ◽  
Vol 12 (2) ◽  
pp. 37-46 ◽  
Author(s):  
Peggy O. Shields ◽  
Sharlett K. Gillard

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110187
Author(s):  
Meredith R. Naughton

The COVID-19 (coronavirus disease–2019) pandemic disrupted the education of students across the globe in the spring of 2020. Students who were previously at most risk for falling behind their peers and through the cracks because of academic, financial, racial, and/or generational disadvantage faced a wide range of additional obstacles in the pursuit of their college goals. This qualitative study sought to uncover postsecondary advising implications for students through the perspectives of near-peer college advisers (n = 23) serving in high-need schools in two different states as intensive, in-person advising was forced to adapt to virtual formats. Two key thematic findings reveal that advisers faced new communication challenges and existing systemic barriers for marginalized students became even larger. For seniors who had not yet made final postsecondary decisions or who had remaining to-dos, the impact of school closures and distanced advising may have fatally widened existing cracks in the path to college.


1982 ◽  
Vol 1982 (17) ◽  
pp. 105-108 ◽  
Author(s):  
Roger B. Winston
Keyword(s):  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alicia Sepulveda ◽  
Matthew Birnbaum

PurposeCoaching in higher education has become increasingly common across the United States. Our qualitative study explores the perceptions of coaches and advisors, as they consider academic coaching as a role distinct from academic advising.Design/methodology/approachOur study adopts a qualitative research approach. Two focus groups were conducted with 14 coaching and academic advising professionals.FindingsOur findings identify at least three major themes when considering academic coaching as a role distinct from academic advising: (1) Potential role overlap, (2) Caseload disparities and (3) Philosophical differences. The indiscriminate use of the title of “coach” contributed to confusion, ambiguity and tension.Practical implicationsWithout a clear understanding of the coach role as a distinct type of support in higher education, confusion and ambiguity are likely to continue.Originality/valueNo studies have explored the perceptions of coaches and advisors, as they consider academic coaching as a role distinct in the United States.


2018 ◽  
Vol 22 (3) ◽  
pp. 497-521 ◽  
Author(s):  
Yu (April) Chen ◽  
Sylvester Upah

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success. This study took the first step to investigate the influence of using predictive analytics on academic advising in engineering majors. Specifically, we examined the effects of predictive analytics-informed academic advising among undeclared first-year engineering student with regard to changing a major and selecting a program of study. We utilized the propensity score matching technique to compare students who received predictive analytics-informed advising with those who did not. Results indicated that students who received predictive analytics-informed advising were more likely to change a major than their counterparts. No significant effects was detected regarding selecting a program of study. Implications of the findings for policy, practice, and future research were discussed.


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