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      El tecnoestrés en el rendimiento académico en estudiantes Translated title: Technostress on academic performance in students Translated title: Techno stress no desempenho acadêmico em estudantes

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          Abstract

          RESUMEN La tecnología incide en el aprendizaje del estudiante, favorece el acceso a la información, a programas académicos virtuales, y el constante uso de redes sociales no pasa desapercibido. Esto hace que el estudiante dependa más de las Tecnologías de la Información y Comunicación. Por ello, el objetivo fue analizar como el tecnoestrés influye en el rendimiento académico de los estudiantes. Se realizó un estudio de diseño correlacional de corte transversal bajo un análisis cuantitativo con una muestra de 251 estudiantes de una universidad nacional. El instrumento empleado fue la escala de Likert. En los resultados se constató el 49.40% presenta un tecnoestrés en un nivel medio, el 28.69% bajo y el 21.91% alto. Se concluyó que el nivel de tecnoestrés tiene una influencia significativa e inversa en el rendimiento académico de los estudiantes. El impacto negativo de alto niveles de estrés puede ser contrarrestado por un alto nivel de autoeficacia tecnológica.

          Translated abstract

          ABSTRACT Technology has an impact on student learning, it favors access to information, virtual academic programs, and the constant use of social networks does not go unnoticed. This makes the student more dependent on Information and Communication Technologies. Therefore, the objective was to analyze how technostress influences students' academic performance. A cross-sectional correlational design study was conducted under a quantitative analysis with a sample of 251 students from a national university. The instrument used was the Likert scale. The results showed that 49.40% had medium, 28.69% low and 21.91% high levels of technostress. It was concluded that the level of technostress has a significant and inverse influence on students' academic performance. The negative impact of high levels of stress can be counteracted by a high level of technological self-efficacy.

          Translated abstract

          RESUMO A tecnologia tem impacto na aprendizagem dos alunos, favorece o acesso à informação, aos programas acadêmicos virtuais, e o uso constante das redes sociais não passa despercebido. Isso torna o aluno mais dependente das Tecnologias de Informação e Comunicação. Portanto, o objetivo foi analisar como o tecnoestresse influencia o desempenho acadêmico dos alunos. Foi realizado um estudo de desenho correlacional transversal sob uma análise quantitativa com uma amostra de 251 alunos de uma universidade nacional. O instrumento utilizado foi a escala Likert. Os resultados mostraram que 49,40% tinham níveis médios, 28,69% baixos e 21,91% altos de tecnoestresse. Concluiu-se que o nível de tecnoestresse tem uma influência significativa e inversa sobre o desempenho acadêmico dos alunos. O impacto negativo dos altos níveis de estresse pode ser neutralizado por um alto nível de autoeficácia tecnológica.

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          Most cited references26

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          Technostress: negative effect on performance and possible mitigations

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            Technostress under different organizational environments: An empirical investigation

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              Is Open Access

              Influence of Technostress on Academic Performance of University Medicine Students in Peru during the COVID-19 Pandemic

              The current study aims to validate and apply an instrument to assess the relationship between communication overload, social overload, technostress, exhaustion and academic performance. We performed a cross-sectional, analytical study of 2286 university medical students to assess the influence of technostress as a mediator of social media overload, communication overload and mental exhaustion and its detrimental effect on the academic performance of university students in Peru during the COVID-19 pandemic. The research model was validated using partial least square structural equation modeling (PLS-SEM) to establish the influence of variables on the model. Communication and social overload were found to positively influence technostress by correlations of 0.284 and 0.557, respectively. Technostress positively influenced exhaustion by 0.898, while exhaustion negatively influenced academic performance by -0.439. Bootstrapping demonstrated that the path coefficients of the research model were statistically significant. The research outcomes may help university managers understand students’ technostress and develop strategies to improve the balanced use of technology for their daily academic activities.
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                Author and article information

                Journal
                hrce
                Horizontes Revista de Investigación en Ciencias de la Educación
                Horizontes Rev. Inv. Cs. Edu.
                CET-BOLIVIA (La Paz, , Bolivia )
                2616-7964
                February 2023
                : 7
                : 28
                : 852-861
                Affiliations
                [1] Lima orgnameUniversidad de San Martín de Porres Peru
                [2] Lima Lima orgnameUniversidad Nacional de Educación Enrique Guzmán y Valle Peru
                Article
                S2616-79642023000200852 S2616-7964(23)00702800852
                10.33996/revistahorizontes.v7i28.559
                206cb807-5a33-4b21-a535-9f1f9161095b

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 21 December 2022
                : 30 January 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 26, Pages: 10
                Product

                SciELO Bolivia

                Categories
                ARTÍCULO DE INVESTIGACIÓN

                Estrés,Estudiantes,Rendimiento académico,Tecnología,Tecnoestres,Stress,Students,Academic performance,Technology,Technostress,Estresse,estudantes,desempenho acadêmico,tecnologia,tecnoestresse

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