Herramientas de inteligencia artificial generativa en estudiantes de educación superior

Rubén Pizarro Gurrola; Ana Louisa Moorillón Soto; Araceli Soledad Domínguez Flores; Jeorgina Calzada Terrones; José Gabriel Rodríguez Rivas

doi:10.61273/neyart.v3i1.90

Authors

Rubén Pizarro Gurrola National Technological of Mexico https://orcid.org/0009-0004-2618-0166
Ana Louisa Moorillón Soto National Technological of Mexico https://orcid.org/0009-0009-5030-6124
Araceli Soledad Domínguez Flores National Technological of Mexico https://orcid.org/0009-0009-9349-3249
Jeorgina Calzada Terrones National Technological of Mexico https://orcid.org/0009-0002-1040-233X
José Gabriel Rodríguez Rivas National Technological of Mexico https://orcid.org/0000-0002-7031-5097

DOI:

https://doi.org/10.61273/neyart.v3i1.90

Keywords:

Generative artificial intelligence, learning, usage, higher education students

Abstract

This article evaluates the topic of the use of generative artificial intelligence (GAI) tools in higher education students at the Instituto Tecnológico de Durango. A Likert scale survey was applied to a sample of 452 students using an instrument that had a Cronbach reliability of 0.77. A component factor analysis was applied through Kaiser-Meyer-Olkin and Bartlett tests that assessed the validity of the instrument. Three dimensions were evaluated: impact and benefit of GAI; familiarity and perception; ethical considerations, privacy and future aspects. The results highlighted that students did find usefulness and a positive impact on their learning and a moderate familiarity with the tools, although they showed indifference towards ethical aspects, privacy and future aspects with the use of GAI. The nonparametric Kruskal-Wallis test revealed that there are no significant differences between the professional careers they study regarding the use of these tools. It is recommended to replicate the study in other institutions to explore broader patterns. The findings emphasized that while IAG improves productivity and learning, there is a need to promote ethical and supervised use of these technologies in educational settings.

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Author Biographies

Rubén Pizarro Gurrola , National Technological of Mexico

Graduated in Computer Science in 1991 from the Durango Institute of Technology (ITD); Master's Degree in Information Systems Administration (MAI) in 1995 from the Monterrey Institute of Technology and Higher Education (ITESM); teacher since 1996 in undergraduate subjects at ITD and master's degrees at the Anglo-Spanish College and the Mexican Institute for Executive Training (IMFE). PRODEP register and academic leader of Data Science and Artificial Intelligence.

Ana Louisa Moorillón Soto, National Technological of Mexico

Computer Systems Engineer from the Durango Institute of Technology; Master's Degree in Information Systems and Technology Management from the Anglo-Spanish University Institute. Currently a teacher in the IT Department of Systems and Computing for the last 14 years; head of the Office of Institutional Development for the last 22 years at the Technological Institute of Durango; candidate for PRODEP and member of the academic body of Data Science and Artificial Intelligence.

Araceli Soledad Domínguez Flores, National Technological of Mexico

Graduated in Computer Science from the Durango Institute of Technology (ITD) in 1992; Master's Degree in Administrative Engineering from the Anglo-Spanish University Institute in 2023; lecturer in the ITD Department of Systems and Computing since 1997; candidate for PRODEP and member of the academic body of Data Science and Artificial Intelligence.

Jeorgina Calzada Terrones, National Technological of Mexico

Degree in Computer Science from the Technological Institute of Durango 1989; Master's Degree in Higher Education with an emphasis in Teaching from the Autonomous University of Campeche 2010. Teacher and researcher at TecNM since 1990. Systems and Computing Coordinator for 10 years and head of the Department of the Division of Professional Studies at ITD from 2022 to date; candidate for PRODEP and member of the academic body of Data Science and Artificial Intelligence.

José Gabriel Rodríguez Rivas, National Technological of Mexico

Graduated in Computer Science from the Durango Institute of Technology in 1996; Master's Degree in Information Technology from UNID in 2012; PhD in Computer Systems from the University of the South in 2022. Lecturer and Researcher in the Department of Systems and Computing at the Durango Institute of Technology since 2009. Lecturer at master's level at the Mexican Institute of Executive Training (IMFE); PRODEP registration, SNI candidate and member of the Data Science and Artificial Intelligence academic body.

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