An approach to optimize study programs using Discrete Event Simulation

TL;DR

This paper presents a discrete event simulation model to analyze and optimize study programs, aiming to reduce dropout rates and delays in graduation, especially in STEM fields.

Contribution

It introduces a novel discrete event simulation approach to identify bottlenecks and improve study program design for better academic outcomes.

Findings

Simulation reveals key bottlenecks in student progression.

Identifies factors contributing to dropout and delays.

Provides insights for optimizing study program structure.

Abstract

Creating a study program for optimal academic completion is a complex assignment. Especially programs in the science, technology, engineering, and mathematics field are known for extended completion time as well as high drop-out rates throughout the years. Drop-outs are caused by various reasons and can not be directly generalized. This leads to unnecessary costs for the students and the university. Reasons for dropping out of university could be students failing classes too often or poorly designed study programs causing a loss of interest in a subject. Besides dropping out of university, students are often having trouble with specific classes. This results in postponing certain classes, which causes a bottleneck in the overall progression and delays graduation. To achieve a better understanding of a general student's progression as well as finding mentioned bottlenecks in an average academic progression a discrete event simulation was created. The insights gained by the simulation shall furthermore be used by Technische Hochschule K\"oln to analyze mentioned problems, find solutions and create a healthier environment for optimal academic progression.