Pathway patterns mobility study of first time vs. transfer students in computer science and information technology programs at a public university

Abstract

Purpose

Postsecondary institutions use metrics such as student retention and college completion rates to measure student success. Multiple factors affect the success of first time in college (FTIC) and transfer students. Transfer student success rates are significantly low, with most transfer students nationwide failing to complete their degrees in four-year institutions. The purpose of this study is to better understand the degree progression patterns of both student types in two undergraduate science, technology, engineering and mathematics (STEM) programs: computer science (CS) and information technology (IT). Recommendations concerning academic advising are discussed to improve transfer student success.

Design/methodology/approach

This study describes how transfer student success can be improved by thoroughly analyzing their degree progression patterns. This study uses institutional data from a public university in the United States. Specifically, this study utilizes the data of FTIC and transfer students enrolled in CS and IT programs at the targeted university to understand their degree progression patterns and analyzes the program curricula using network science curricular analytics method to determine what courses in the curriculum require more assistance to retain students.

Findings

The major findings of this study are: (1) students’ degree mobility patterns within an institution differ significantly between transfer and FTIC students; (2) some similarities exist between the CS and IT programs in terms of transfer students' degree mobility patterns; (3) transfer students' performance in basic and intermediate level core courses contribute to differences in transfer students' mobility patterns.

Originality/value

This study introduces the concept of “mobility patterns” and examines student degree mobility patterns of both FTIC and transfer students in a large public university to improve the advising process for transfer students regarding courses and identifying secondary majors.

Citation

Basavaraj, P., Garibay, I. and Ozmen Garibay, O. (2022), "Pathway patterns mobility study of first time vs. transfer students in computer science and information technology programs at a public university", Journal of Applied Research in Higher Education, Vol. 14 No. 2, pp. 784-807. https://doi.org/10.1108/JARHE-12-2020-0429