Generative AI Usage of University Students: Navigating Between Education and Business

Fuente: arXiv
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Autores principales: Walke, Fabian, Föller, Veronika
Formato: Preprint
Publicado: 2026
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author Walke, Fabian
Föller, Veronika
author_facet Walke, Fabian
Föller, Veronika
contents This study investigates generative artificial intelligence (GenAI) usage of university students who study alongside their professional career. Previous literature has paid little attention to part-time students and the intersectional use of GenAI between education and business. This study examines with a grounded theory approach the characteristics of GenAI usage of part-time students. Eleven students from a distance learning university were interviewed. Three causal and four intervening conditions, as well as strategies were identified, to influence the use of GenAI. The study highlights both the potential and challenges of GenAI usage in education and business. While GenAI can significantly enhance productivity and learning outcomes, concerns about ethical implications, reliability, and the risk of academic misconduct persist. The developed grounded model offers a comprehensive understanding of GenAI usage among students, providing valuable insights for educators, policymakers, and developers of GenAI tools seeking to bridge the gap between education and business.
format Preprint
id arxiv_https___arxiv_org_abs_2602_16307
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Generative AI Usage of University Students: Navigating Between Education and Business
Walke, Fabian
Föller, Veronika
Computers and Society
Artificial Intelligence
Human-Computer Interaction
68T01
I.2.0; K.3.2; H.5.0
This study investigates generative artificial intelligence (GenAI) usage of university students who study alongside their professional career. Previous literature has paid little attention to part-time students and the intersectional use of GenAI between education and business. This study examines with a grounded theory approach the characteristics of GenAI usage of part-time students. Eleven students from a distance learning university were interviewed. Three causal and four intervening conditions, as well as strategies were identified, to influence the use of GenAI. The study highlights both the potential and challenges of GenAI usage in education and business. While GenAI can significantly enhance productivity and learning outcomes, concerns about ethical implications, reliability, and the risk of academic misconduct persist. The developed grounded model offers a comprehensive understanding of GenAI usage among students, providing valuable insights for educators, policymakers, and developers of GenAI tools seeking to bridge the gap between education and business.
title Generative AI Usage of University Students: Navigating Between Education and Business
topic Computers and Society
Artificial Intelligence
Human-Computer Interaction
68T01
I.2.0; K.3.2; H.5.0
url https://arxiv.org/abs/2602.16307