Student Learning Style: A Segmentation Strategy for Higher Education

Abstract

Abstract Student learning style has been modeled as a moderating variable in learning effectiveness and efficiency. This article proposes that student learning style can be related to easily identifiable demographic traits. Empirical evidence from a survey administered at a public institution and at a private institution demonstrates that age level and grade point average are significantly related to student learning style. Segmentation based on these characteristics would lead to alternative education programs that uniquely meet the needs of their constituents, and the increased efficiency of such college programs could be used to enhance the financial ability of many prospective students to attend a university.