Date of Award:

5-2021

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Computer Science

Committee Chair(s)

John Edwards

Committee

John Edwards

Committee

Vicki Allan

Committee

Mahdi Nasrullah Al-Ameen

Abstract

The choice of academic major and, subsequently, an academic institution has a massive effect on a person’s career. It not only determines their career path but their earning potential, professional happiness, etc. [1] About 40% of people who are admitted to a college do not graduate within six years. Yet, very limited resources are available for students to help make those decisions, and each guidance counselor is responsible for roughly 400 to 900 students across the United States. A tool to help these decisions would benefit students, parents, and guidance counselors.

Various research studies have shown that personality traits affect college choice, but there were no studies or tools to utilize this information. With this research, we validate that the personality traits can be used to classify majors, and subsequently, to recommend college majors to students. We identified a method to make that recommendation with more than 90% accuracy. We also analyzed methods of simplifying the personality traits dimension and identified two techniques that can reduce the input data by half and still maintain over 90% accuracy.

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