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Item type:Publication, Effects of resilience, social support, and academic self-efficacy on mental health among Peruvian university students during the pandemic: The mediating role of digital inclusion(Frontiers Media SA, 2024-01-01)Mental health of university students has been impacted during the pandemic, highlighting the importance of understanding its psychosocial determinants. Nevertheless, there has been limited exploration into whether the digital inclusion conditions for remote education could mediate the effects that variables such as resilience, social support, and academic self-efficacy may have on mental health. Considering the above, there is evidence that shows a consistent relationship between resilience, social support and academic self-efficacy on mental health, to the extent that these are psychological variables. On the other hand, digital inclusion, which comprehends a contextual variable, not a psychological one, related to ICT access opportunities and mainly focused on the quality of Internet access, should be analyzed in a differential manner. Objectives: This study seeks to analyze the effect of resilience, social support and academic self-efficacy, on the mental health of a group of Peruvian university students; in addition, it seeks to analyze the mediating role of digital inclusion. Materials and methods: A cross-sectional study was conducted with 3,147 undergraduate students from a private university in Lima, Perú. From August to October 2020, data were collected online through questionnaire, this include The Depression, Anxiety and Stress Scale 21 (DASS-21), The 10-item version of the Connor-Davidson Resilience Scale (CD-RISC10), The Multidimensional Scale of Perceived Social Support (EMASP), The Perceived Self-Efficacy Specific for Academic Situations Scale (EAPESA) and to measure digital inclusion, the Perceived Quality of Internet Access reported by the students. The levels of participants’ anxiety, depression and stress were described using frequency and percentage. Pearson Correlation test was used to measure the correlation between the variables and a Path analysis was conducted. Finally, The PROCESS macro for SPSS (Model 4) was applied to examine the mediating effect of the model controlling gender variable. Results: The results revealed significant levels of extremely severe symptoms of anxiety (36.8%), depression (33.4%) and stress (18.1%) among the participants. A path analysis, which indicated that resilience (β = −0.346), social support (β = −0.189), academic self-efficacy (β = −0.060) and digital inclusion (β = −0.089) had significant impact on students’ General Distress. In addition, digital inclusion plays a partial mediation role with low but significant effect size in the relationship between resilience, social support and self-efficacy with mental health. Conclusion: Mental health of university students during the pandemic shows alarming levels of general or emotional distress. The findings indicate that resilience, social support and self-efficacy protect college students’ mental health by reducing general distress. However, the study shows that when there is a digital divide around internet quality the impact of these factors is affected. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The relationship between perceived learning, academic performance and academic engagement in virtual education for university students(Asian Online Journal Publishing Group, 2024-01-01)This study aimed to determine whether the three dimensions of academic engagement (cognitive, emotional and behavioral) were positively associated with perceived learning and academic performance. The participants were 301 university students from Lima. Structural equation models were used to test the proposed theoretical relationship between the variables. The results indicated that the model showed satisfactory fit indices (CFI = 0.956, TLI = 0.949, RMSEA = 0.043, SRMR = 0.062). Perceived learning was found to be predicted by cognitive engagement (β = 0.447, p < 0.01) and emotional engagement (β = 0.230, p < 0.05). However, there was no statistically significant relationship between behavioral engagement and perceived learning (β = 0.035, p = 0.840). On the other hand, academic performance was predicted by behavioral engagement (β = 0.393, p < 0.05) but not by cognitive (β = -0.164, p = 0.301) or emotional (β = 0.001, p = 0.991) engagement. The study highlights the importance of fostering academic engagement in university students to enhance both their academic performance and perceived learning. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Percepción del estilo motivacional docente, motivación, autoeficacia y ansiedad ante exámenes en el curso de inglés en escolares de secundaria de un colegio privado de Lima Metropolitana(2026-02-27)La enseñanza del idioma inglés en el Perú se promueve activamente tanto en escuelas privadas como en escuelas públicas. Sin embargo, pocas investigaciones han estudiado la motivación de los escolares por aprender esta segunda lengua. Así, basados en la teoría de la autodeterminación, se estudió la percepción de los estilos motivacionales utilizados por el docente en el curso de Inglés (apoyo a la autonomía y control psicológico), la motivación de los estudiantes de ese curso (autónoma y controlada), así como la ansiedad ante exámenes y la autoeficacia académica en una muestra de 394 escolares de cuarto y quinto grado de secundaria de ambos sexos, de una escuela privada de Lima Metropolitana. Luego de los análisis correlacionales, el análisis de senderos comprobó el modelo hipotetizado, en el que la percepción del estilo motivacional de apoyo a la autonomía predijo positivamente la motivación autónoma por aprender inglés, la que, a su vez, predijo positivamente la autoeficacia académica y negativamente la ansiedad ante exámenes. Por su parte, el estilo de control psicológico del docente predijo positivamente la motivación controlada y la desmotivación. Finalmente, se discuten los resultados que muestran la importancia de los estilos motivacionales docentes y la motivación de los estudiantes, así como sus efectos adaptativos, pero también los desadaptativos.1
