Psychometric evaluation of the predominant constructs in the adoption of ChatGPT in higher education: a Mexican sample

Authors

DOI:

https://doi.org/10.26439/interfases2026.n023.8785

Keywords:

ChatGPT, TAM, VAM, UTAUT, confirmatory factor analysis, exploratory factor analysis

Abstract

The purpose of this study was to evaluate the psychometric properties of the constructs involved in the educational adoption of ChatGPT. The instrument was designed based on Morales et al. (2025), who identified the most recurrent constructs in the literature, derived from models such as TAM, VAM, and UTAUT. Perceived Utility, Social Influence, Behavioral Intention, and Ease of Use were selected, and Perceived Risk was also incorporated due to its emerging relevance. A total of 579 university students participated in the study, were randomly assigned to two samples (M1=281 and M2=298). The time used of ChatGPT by participants shows a balanced distribution between those with less than one year of experience and those who had used it for a longer period. However, regarding competence level, basic proficiency predominated, followed by intermediate proficiency, while only a minority reported advanced use of the tool. Although ChatGPT is used by all participants, it is not an exclusive tool, as they complement its use with other generative AI tools. The primary usage patterns involve information synthesis, explaining complex concepts, and providing examples or insights into current trends; in contrast, its use in critical evaluation tasks is less common. The exploratory factor analysis identified a five-factor structure that explained 59.08% of the variance. The confirmatory factor analysis showed adequate model fit indices (RMSEA=0.047; SRMR=0.058; CFI=0.942; TLI=0.934; and PClose=0.753). Highlighting that the use and adoption of ChatGPT are associated with perceived usefulness, ease of use, the social environment, and perceived risk. Therefore, the resulting instrument can be considered valid and reliable for assessing ChatGPT adoption among Mexican university students.

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Author Biographies

  • María Azeneth Duana Guerra, Universidad Autónoma del Estado de México

    Es estudiante de Informática Administrativa en el Centro Universitario Ecatepec de la Universidad Autónoma del Estado de México. Cuenta con experiencia en la producción académica orientada a la revisión sistemática de literatura y, actualmente, desarrolla trabajos de investigación sobre la aplicación de instrumentos de recolección de datos en entornos digitales. Se encuentra en constante formación técnica mediante certificaciones en Power BI y estudios del idioma inglés. Sus principales intereses se encuentran en las áreas de análisis de datos y gestión de proyectos.

  • Alejandra Morales Ramírez, Universidad Autónoma del Estado de México

    Es doctora en Sistemas Computacionales. Desde el 2009, se desempeña como profesora de tiempo completo en el Centro Universitario Ecatepec de la Universidad Autónoma del Estado de México, donde imparte las asignaturas de Comunicación entre Computadoras, Protocolos de Red, Bases de Datos, Investigación I y Temas Selectos de Computación. Cuenta con perfil deseable PRODEP y ha publicado artículos en congresos y revistas científicas referentes a temas de educación, minería de procesos, desarrollo de software y sistemas de información, así como de circuitos analógicos. Conjuntamente, ha dirigido tesis de nivel licenciatura y maestría. Es miembro del Sistema Nacional de Investigadoras e Investigadores de México.

  • Guadalupe Montserrat Figueroa Castañeda, Universidad Autónoma del Estado de México

    Es estudiante de Informática Administrativa en el Centro Universitario Ecatepec de la Universidad Autónoma del Estado de México. A lo largo de su formación académica, ha desarrollado diferentes habilidades en áreas como la gestión de tecnologías de la información, análisis de sistemas, seguridad informática y desarrollo de proyectos tecnológicos. Ha participado en diversos proyectos académicos. Su interés profesional se centra en la administración de tecnologías de la información, la consultoría tecnológica y la seguridad de la información.

  • Cuauhtémoc Hidalgo Cortés, Universidad Autónoma del Estado de México

    Es doctor en Sistemas Computacionales. Desde el 2008, se desempeña como profesor de tiempo completo del Centro Universitario Ecatepec de la Universidad Autónoma del Estado de México, en donde imparte clases en la carrera profesional de Ingeniería en Computación y en la Maestría en Ciencias de la Computación. Es integrante del cuerpo académico TIC y Dispositivos Electrónicos con registro y nivel consolidado ante la Secretaría de Educación Pública. Simultáneamente, ha dirigido tesis de nivel licenciatura y maestría. Es miembro del Sistema Nacional de Investigadoras e Investigadores de México.

  • Juan de Jesús Amador Reyes, Universidad Autónoma del Estado de México

    Es doctor en Ciencias de la Computación. Actualmente, se desempeña como profesor de tiempo completo del Centro Universitario Ecatepec de la Universidad Autónoma del Estado de México, donde imparte clases en las carreras profesionales de Informática Administrativa y de Ingeniería en Computación, así como en la maestría en Ciencias de la Computación. Cuenta con perfil deseable PRODEP y ha publicado artículos en congresos y revistas científicas referentes a temas de realidad virtual, inteligencia artificial, computación gráfica y minería de procesos. Es miembro del Sistema Nacional de Investigadoras e Investigadores de México.

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Published

2026-07-30

Issue

Section

Research papers

How to Cite

Duana Guerra, M. A., Morales Ramírez, A., Figueroa Castañeda, G. M., Hidalgo Cortés, C., & Amador Reyes, J. de J. (2026). Psychometric evaluation of the predominant constructs in the adoption of ChatGPT in higher education: a Mexican sample. Interfases, 023, 37-61. https://doi.org/10.26439/interfases2026.n023.8785

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