Adaptación y carga laboral como predictores de la autoeficacia profesional durante la Pandemia COVID-19 en docentes universitarios peruanos

Abstract

Introduction. University teachers have had to face the changes demanded by virtual education in times of the COVID-19 pandemic. Therefore, the objective was to determine whether adaptation to virtual classes and workload predict professional self-efficacy in university teachers. Method. associative-predictive study, with the participation of 321 university teachers (55.5% male and 44.5% female) from two Peruvian universities (22.4% state and 77.6% private), between 26 and 66 years of age, selected under a non-probabilistic purposive sampling. The evaluation was carried out using a scale of adaptation to virtual classes, a workload scale and a professional self-efficacy questionnaire. A structural equation model was estimated using SPSS Amos 22.0 statistical software. Results. Correlation analysis showed significant associations between the study variables (p