Artificial Neural Networks: A New Approach to Predicting Application Behavior

Authors: González J.M.B.¹; DesJardins S.L.²

Source: Research in Higher Education, Volume 43, Number 2, April 2002 , pp. 235-258(24)

Publisher: Springer

Buy & download fulltext article:

Price: $47.00 plus tax (Refund Policy)

Abstract:

In this article we examine how predictive modeling can be used to study application behavior. We apply a relatively new technique, artificial neural networks, to help us predict which students are likely to apply to a large Research I institution in the Midwest. We compare the results of these new techniques to the traditional analysis tool, logistic regression modeling. The addition of artificial intelligence models is an exciting new area and this article encourages other institutional researchers to use this technique to explore the complex processes found in our educational institutions.

Keywords: artificial neural networks; logistic regression analysis; college application behavior

Language: English

Document Type: Regular paper

Affiliations: 1: Educational Policy and Leadership Studies, The University of Iowa, Iowa City, IA 2: The University of Iowa, Educational Policy and Leadership Studies, N491 Lindquist Center, Iowa City, IA 52242-1529; stephen-desjardins@uiowa.edu

Publication date: 2002-04-01