Neither 1, nor 3, are 7! Analysis of technostress profiles in university students through a mixed method

Jonathan Peñalver; Mercedes Ventura; Alba Juan-Alemany; Mabel San Román-Niaves

doi:10.24310/ijtei.112.2025.21414

Autores/as

Jonathan Peñalver Equipo de investigación WANT, Universitat Jaume I, España https://orcid.org/0000-0003-1339-7484
Mercedes Ventura Universitat Jaume I, España https://orcid.org/0000-0001-5949-7144
Alba Juan-Alemany Universitat Jaume I, España
Mabel San Román-Niaves Alma Mater Studiorum-Università di Bologna, Italia https://orcid.org/0000-0003-3550-9088

DOI:

https://doi.org/10.24310/ijtei.112.2025.21414

Palabras clave:

Tecnoestrés, estudiantes universitarios, perfiles, método mixto, agotamiento en estudiantes

Resumen

Aunque el tecnoestrés puede afectar a cualquier persona que utilice las TIC (incluyendo empleados y estudiantes), los individuos lo experimentan de manera diferente a través de ansiedad, fatiga o adicción. Este estudio pretende avanzar en la investigación del tecnoestrés en estudiantes mediante la identificación de perfiles distintivos y el análisis de las diferencias entre ellos utilizando un enfoque de métodos mixtos. La muestra estuvo formada por 224 estudiantes universitarios (68,5% mujeres) de diferentes universidades españolas. Los resultados revelaron siete perfiles de tecnoestrés: Perfil 1, Tecno-ansioso, Perfil 2, Tecno-fatigado, Perfil 3, Tecno-adicto, Perfil 4, Tecno-ansioso-fatigado, Perfil 5, Tecno-ansioso-adicto, Perfil 6, Tecno-fatigado-adicto, Perfil 7, Tecno-ansioso-fatigado-adicto. Aunque el burnout estudiantil no discrimina entre los perfiles, el análisis cualitativo mostró que las competencias digitales insuficientes y la sobrecarga de información contribuyeron a aumentar la ansiedad y la resistencia hacia la tecnología. Además, la exposición prolongada a pantallas sin una gestión adecuada provoca fatiga mental y visual. Estos resultados destacan la necesidad de intervenciones específicas para mejorar las competencias digitales y promover un uso más saludable de la tecnología. Los resultados tienen importantes implicaciones teóricas para comprender la complejidad del tecnoestrés y aplicaciones prácticas para desarrollar herramientas de diagnóstico más precisas y estrategias de apoyo personalizadas.

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