Using Business Intelligence in College Admissions: A Strategic Approach

W. O. Dale Amburgey and John Yi
Additional contact information
W. O. Dale Amburgey: Saint Joseph’s University, USA
John Yi: Saint Joseph’s University, USA

International Journal of Business Intelligence Research (IJBIR), 2011, vol. 2, issue 1, 1-15

Abstract: Higher education often lags behind industry in the adoption of new or emerging technologies. As competition increases among colleges and universities for a diminishing supply of prospective students, the need to adopt the principles of business intelligence becomes increasingly more important. Data from first-year enrolling students for the 2006-2008 fall terms at a private, master’s-level institution in the northeastern United States was analyzed for the purpose of developing predictive models. A decision tree analysis, a neural network analysis, and a multiple regression analysis were conducted to predict each student’s grade point average (GPA) at the end of the first year of academic study. Numerous geodemographic variables were analyzed to develop the models to predict the target variable. The overall performance of the models developed in the analysis was evaluated by using the average square error (ASE). The three models had similar ASE values, which indicated that any of the models could be used for the intended purpose. Suggestions for future analysis include expansion of the scope of the study to include more student-centric variables and to evaluate GPA at other student levels.

Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jbir.2011010101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jbir00:v:2:y:2011:i:1:p:1-15

Access Statistics for this article

International Journal of Business Intelligence Research (IJBIR) is currently edited by Ana Azevedo

More articles in International Journal of Business Intelligence Research (IJBIR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().