Adoption of artificial intelligence tools at Francisco Gavidia University

Authors

DOI:

https://doi.org/10.5377/ryr.v1i60.19866

Keywords:

artificial intelligence, education, AI tools, AI adoption, El Salvador

Abstract

Artificial intelligence is radically transforming Higher Education. However, its adoption poses significant challenges related to data privacy and ethics. The present study corresponds to a descriptive research with a quantitative approach on the adoption of artificial intelligence tools by students and teachers at Francisco Gavidia University. Data were collected at a single point in time through questionnaires distributed to both students and teachers. The sample included those who voluntarily answered the questionnaires during the established period. The results revealed that there is a lack of communication between teachers and students regarding policies for the use of artificial intelligence in the classroom. In addition, an untapped potential in the use of these tools in education was identified, since 50% of the students and 38% of the teachers stated that they do not use them. Both groups showed a great interest in strengthening their competencies in the proper use of these tools; however, their learning strategies presented some notable differences. Therefore, it is relevant to understand these differences in order to design more effective training programs and educational resources.

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Author Biography

James Edward Humberstone Morales, Francisco Gavidia University

Ingeniería en Ciencias de la Computación, Universidad Francisco Gavidia, El Salvador
Maestría en Informática Aplicada a Redes, Universidad Francisco Gavidia, El Salvador
Docente investigador del Centro de Modelaje Matemático «Carlos Castillo-Chávez», en la Facultad de Ingeniería y Sistemas, Universidad Francisco Gavidia, El Salvador

Published

2025-01-24

How to Cite

Humberstone Morales, J. E. (2025). Adoption of artificial intelligence tools at Francisco Gavidia University. Reality and Reflection, 1(60), 52–72. https://doi.org/10.5377/ryr.v1i60.19866

Issue

Section

Articles