Browsing by Subject "Technostress"

Now showing 1 - 3 of 3
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    Análisis de evidencia sobre tecnoestrés, factores, trascendencia y estrategias de mitigación en estudiantes de salud
    (Universidad de Murcia. Servicio de Publicaciones, 2025) Urrejola Contreras, Gabriela; Herrera-Lillo, Antonieta; Sin departamento asociado
    Technology has been widely integrated into health sciences education, especially during the pandemic, fostering digital learning. However, studies reveal challenges such as limited technological skills, technostress, and difficulties in critical tasks. Factors such as age, gender, and motivation influence the use of mobile devices for learning. Technostress, with its negative effects on academic performance, requires strategies to mitigate its impact, particularly among health students. The objective was to analyze the available evidence on technostress, its triggers, and mitigation strategies. A literature search was conducted for publications between 2019 and 2024, available in English and Spanish. The databases consulted included Scopus, PubMed, EBSCO, and ERIC, along with an additional free search. A total of eight articles were included in this integrative review. The methodological assessment criteria suggested by the Equator Network were followed. Technostress, present among health sciences students, arises from excessive use and poor management of technology. Overload, technological complexity, and constant availability expectations intensify it, affecting well-being, academic performance, and mental health. To address it, strengthening computer self-efficacy, implementing institutional support, and adopting personal strategies such as digital disconnection, relaxation, and balanced technology use management are recommended. Proper strategies can turn this challenge into academic growth, and a comprehensive approach that includes institutional support, digital training, teacher adaptation, and healthy habits can mitigate the impact and promote student resilience.
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    Exploration of stress, burnout and technostress levels in teachers. Prediction of their resilience levels using an artificial neuronal network (ANN).
    (Elsevier Ltd, 2024-10-01) Pagán-Garbín, Inés; Méndez Mateo, Inmaculada; Martínez Ramón, Juan Pedro; Psicología Evolutiva y de la Educación; Facultades de la UMU::Facultad de Psicología y Logopedia
    This study explores stress, burnout syndrome, resilience, and technostress in 168 teachers in Region of Murcia. The general objective was to predict the teacher's resilience levels, as well as analyse the relationship between the variables under study and see the influence of age and gender. The results achieved showed statistically significant relationships in the correlational analysis between stress, technostress, emotional exhaustion, and depersonalisation. Analyses on resilience showed a significant and negative relationship with factors the factors above, but a positive and statistically significant relationship with personal accomplishment. Also, we found age effects on technostress and stress. Furthermore, an artificial neural network (ANN) was created, obtaining a model with a capacity to predict resilience levels in an 86.7% of cases. Personal accomplishment is the most relevant factor to predict resilience levels in teachers, although stress, age and gender are also important.
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    Validation of the Spanish version of the Technostress Creators Scale in Chilean Workers
    (Universidad de Murcia. Servicio de Publicaciones, 2022) Salazar Concha, Cristian; Ficapal Cusí, Pilar; Peñarroja, Vicente; Enache Zegheru, Mihaela
    The purpose of this study was to adapt and validate the Spanish version of the Technostress Creators Scale (TCS). The scale was adminis-tered to 1.047 Chilean professionals. The internal structure of the scale was tested by conducting exploratory and confirmatory factor analyses. The av-erage variance extracted (AVE) and the Fornell–Larcker criterion were used to examine convergent and discriminant validity, respectively. To in-vestigate concurrent validity, we focused on the relation between the TCS scale and role stress, which is a distinct, albeit conceptually related con-struct. Our findings supported a five-factor model consisting of 23 items distributed in five factors: techno-overload, techno-invasion, techno-complexity, techno-insecurity and techno-uncertainty. The Spanish version of the TCS had a high level of internal consistency, which was similar to the original scale. Appropriate evidence of concurrent validity was also shown. In addition, we conducted an international comparison of the re-search results with other relevant adaptations of the instrument reported in different cultural contexts. The results confirmed that the Spanish transla-tion of the TCS is a suitable instrument for measuring technostress and can contribute to an empirical examination of this phenomenon in Span-ish-speaking countries.