Exploring the Determinants of the Sustainable Use of Artificial Intelligence in Peruvian University Teachers: A Structural Equation Modeling Analysis

Benicio Gonzalo Acosta-Enriquez, Moises David Reyes-Perez, Olger Huamani Jordan (), Leticia Carreño Saucedo, Jesús Emilio Agustín Padilla-Caballero, Antony Esmit Franco Fernández-Altamirano, Abraham José García Yovera, Roxita Nohely Briceño-Hernandez and Johannes Michael Alarcón Bustíos
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Benicio Gonzalo Acosta-Enriquez: Departamento de Ciencias Psicológicas, Facultad de Educación y Ciencias de la Comunicación, Universidad Nacional de Trujillo, Av. Juan Pablo II S/N Urb. San Andres, Trujillo 13011, Peru
Moises David Reyes-Perez: Escuela de Psicología, Facultad de Psicología, Universidad Nacional Mayor de San Marcos, Lima 15081, Peru
Olger Huamani Jordan: Facultad de Psicología, Universidad Tecnológica del Perú, Av. Arequipa 265, Lima 15046, Peru
Leticia Carreño Saucedo: Escuela de Psicología, Universidad Autónoma del Estado de México, Toluca 50130, Mexico
Jesús Emilio Agustín Padilla-Caballero: Escuela de Posgrado, Universidad Cesar Vallejo, Av. Larco 1770, Trujillo 13001, Peru
Antony Esmit Franco Fernández-Altamirano: Escuela de Posgrado, Universidad Cesar Vallejo, Av. Larco 1770, Trujillo 13001, Peru
Abraham José García Yovera: Escuela de Administración, Universidad Señor de Sipán, Chiclayo 14002, Peru
Roxita Nohely Briceño-Hernandez: Escuela de Posgrado, Universidad Cesar Vallejo, Av. Larco 1770, Trujillo 13001, Peru
Johannes Michael Alarcón Bustíos: Escuela de Posgrado, Universidad Cesar Vallejo, Av. Larco 1770, Trujillo 13001, Peru

Sustainability, 2025, vol. 17, issue 7, 1-21

Abstract: This study examines the determinants of the sustainable use of artificial intelligence (AI) among university professors in Peru. This research adopted a quantitative approach through a cross-sectional empirical–explanatory study, employing a structural equation model. Data were collected from 368 professors from eight Peruvian universities using a structured questionnaire that assessed six main constructs: attitude toward AI, prejudice against AI, facilitating conditions, use of AI, teaching concerns, and ethical perception. While the results reveal significant correlational relationships—with attitude toward AI, facilitating conditions, and prejudice against AI showing a significant association with its sustainable use, and the use of AI showing a significant relationship with professors’ ethical perceptions—the cross-sectional nature of this study precludes causal inferences. No significant relationship was found between the use of AI and teaching concerns. Additionally, demographic variables such as gender and age did not exhibit significant moderating effects. These findings contribute to understanding the factors related to the sustainable adoption of AI in higher education and provide valuable insights for the development of effective institutional strategies in the Latin American context.

Keywords: artificial intelligence; educational sustainability; higher education; technology adoption; ethical perception; technology adoption (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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