Student satisfaction with GenAI: an analysis of perception factors in the university context

Authors

DOI:

https://doi.org/10.61799/2216-0388.2092

Keywords:

Higher education, engineering students, generative artificial intelligence, student satisfaction.

Abstract

The constant and widespread use of Generative Artificial Intelligence (GenAI) in higher education is an undeniable reality. Its use as a support resource for teaching, learning, and assessment processes is crucial; however, understanding users' perceptions, especially those of students, of these technologies is of great importance for developing knowledge regarding their appropriate and sensible implementation. This research aims to analyze student satisfaction with GenAI in the university setting. It employs a quantitative approach that combines descriptive analysis with non-parametric inferential methods, specifically the Kruskal-Wallis H test and the Wilcoxon signed-rank test. A structured Likert-scale survey was administered to 471 engineering students at a private university in Colombia to evaluate various dimensions of perception, including general perception, feedback, usability, motivation, and personalization. The results show a high overall level of satisfaction (mean score = 4.23), suggesting a favorable perception of GenAI as a support resource for academic processes. These findings also reveal substantial differences across several evaluated dimensions, which in turn indicate discrepancies in user experiences, with the exception of personalization, which yielded very similar results. The overall findings of this research indicate significant acceptance and a positive perception of GenAI; however, its integration continues to require pedagogical strategies that promote responsible use. This research provides empirical evidence on student satisfaction with GenAI and highlights the importance of addressing variability in user experience. Future research should explore these perceptions in broader contexts and over time to better understand their evolution.

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Author Biographies

  • José de Jesús Alcalá Díaz, Instituto Tecnológico de Ciudad Guzmán, Ciudad Guzmán, México.

    Estudiante de Ingeniería Industrial e investigador en el Grupo Interdisciplinario de Investigación para la Sostenibilidad y Competitividad Empresarial.

  • Santiago Muñoz Muñoz, Fundación Universitaria Cafam, Bogotá, Colombia.

    Docente en Fundación Universitaria Cafam y miembro del Grupo Interdisciplinario de Investigación para la Sostenibilidad y la Competitividad Empresarial 

  • Claudia Marcela Guarnizo Vargas, Fundación Universitaria Cafam, Bogotá, Colombia.

    Licenciada en Física y miembro activo del Grupo interdisciplinario de investigación en pedagogía para la innovación y el desarrollo UNICAFAM 

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Published

2026-09-01

Issue

Vol. 16 No. 36 (2026)

Section

Artículo Originales

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Copyright (c) 2026 Mundo FESC Journal

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

[1]
Salas Hernández, J.I. et al. 2026. Student satisfaction with GenAI: an analysis of perception factors in the university context. Mundo FESC Journal. 16, 36 (Sep. 2026). DOI:https://doi.org/10.61799/2216-0388.2092.

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