Visualizing and Identifying Patterns of Student Flow Through Undergraduate Engineering Programs
Year: 2025
Type: conference-paper
Abstract: The use of historical student data to create tools that can help programs recognize potential stumbling blocks for students as they progress through their programs of study is a useful application of learning analytics methodologies.This work presents the creation of such a tool which aims to aid in visualizing patterns of flow through undergraduate engineering programs.The data utilized and the tool development methodology are presented in detail as a proof-of-concept of the use of Sankey diagrams to identify areas for improvement in student flow at the degree programlevel.The tool is then used to compare/contrast patterns of eleven undergraduate engineering programs.The results of the analysis of some patterns and areas of future work are also discussed.
DOI: 10.18260/1-2--55087
Author: Bonnie Boardman
Institution: The University of Texas at Arlington
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4409945275